solar-energy-forecasting-using-images.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/maksboralessa/solar-energy-forecasting-using-images?scriptVersionId=119191793\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown","outputs":[],"execution_count":0},{"cell_type":"code","execution_count":1,"id":"09cb6573","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:48.709667Z","iopub.status.busy":"2023-02-14T22:31:48.709242Z","iopub.status.idle":"2023-02-14T22:31:48.719384Z","shell.execute_reply":"2023-02-14T22:31:48.718594Z"},"papermill":{"duration":0.028982,"end_time":"2023-02-14T22:31:48.721379","exception":false,"start_time":"2023-02-14T22:31:48.692397","status":"completed"},"tags":[]},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":2,"id":"cbe4feb7","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:48.751817Z","iopub.status.busy":"2023-02-14T22:31:48.750976Z","iopub.status.idle":"2023-02-14T22:31:48.796103Z","shell.execute_reply":"2023-02-14T22:31:48.795296Z"},"papermill":{"duration":0.062421,"end_time":"2023-02-14T22:31:48.79802","exception":false,"start_time":"2023-02-14T22:31:48.735599","status":"completed"},"tags":[]},"outputs":[],"source":["power_10_df = pd.read_csv(\"/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Power measurements/2019_09_10.csv\")\n","power_11_df = pd.read_csv(\"/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Power measurements/2019_09_11.csv\")\n","power_12_df = pd.read_csv(\"/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Power measurements/2019_09_12.csv\")"]},{"cell_type":"code","execution_count":3,"id":"4bb3b7de","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:48.828795Z","iopub.status.busy":"2023-02-14T22:31:48.827412Z","iopub.status.idle":"2023-02-14T22:31:48.846227Z","shell.execute_reply":"2023-02-14T22:31:48.84537Z"},"papermill":{"duration":0.036125,"end_time":"2023-02-14T22:31:48.848408","exception":false,"start_time":"2023-02-14T22:31:48.812283","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date and Time</th>\n","      <th>AVG power</th>\n","    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columns]"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["power_10_df"]},{"cell_type":"code","execution_count":4,"id":"9d9e1b58","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:48.878651Z","iopub.status.busy":"2023-02-14T22:31:48.87804Z","iopub.status.idle":"2023-02-14T22:31:48.889385Z","shell.execute_reply":"2023-02-14T22:31:48.888487Z"},"papermill":{"duration":0.028304,"end_time":"2023-02-14T22:31:48.891274","exception":false,"start_time":"2023-02-14T22:31:48.86297","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["1000    2200.0\n","1001    2260.0\n","1002    1700.0\n","1003    3020.0\n","1004    2700.0\n","1005    1910.0\n","1006    2550.0\n","1007    3440.0\n","1008    3110.0\n","1009    2730.0\n","1010    1360.0\n","1011    1510.0\n","1012    1870.0\n","1013    1770.0\n","1014    2700.0\n","1015    3180.0\n","1016    2740.0\n","1017    3110.0\n","1018    3460.0\n","1019    2290.0\n","1020    1010.0\n","1021    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power'].iloc[1000:1050]"]},{"cell_type":"code","execution_count":5,"id":"c2ffabae","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:48.92299Z","iopub.status.busy":"2023-02-14T22:31:48.921627Z","iopub.status.idle":"2023-02-14T22:31:49.272371Z","shell.execute_reply":"2023-02-14T22:31:49.271507Z"},"papermill":{"duration":0.368239,"end_time":"2023-02-14T22:31:49.274545","exception":false,"start_time":"2023-02-14T22:31:48.906306","status":"completed"},"tags":[]},"outputs":[],"source":["power_10_df['Date and Time'] = pd.to_datetime(power_10_df['Date and Time'])\n","power_11_df['Date and Time'] = pd.to_datetime(power_11_df['Date and Time'])\n","power_12_df['Date and Time'] = pd.to_datetime(power_12_df['Date and Time'])"]},{"cell_type":"code","execution_count":6,"id":"c5541ac7","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.30536Z","iopub.status.busy":"2023-02-14T22:31:49.305079Z","iopub.status.idle":"2023-02-14T22:31:49.318092Z","shell.execute_reply":"2023-02-14T22:31:49.317299Z"},"papermill":{"duration":0.030493,"end_time":"2023-02-14T22:31:49.320014","exception":false,"start_time":"2023-02-14T22:31:49.289521","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date and Time</th>\n","      <th>AVG power</th>\n","    </tr>\n","  </thead>\n","  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Time']\n","power_10_df"]},{"cell_type":"code","execution_count":7,"id":"8ccfdf1e","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.350692Z","iopub.status.busy":"2023-02-14T22:31:49.350442Z","iopub.status.idle":"2023-02-14T22:31:49.362072Z","shell.execute_reply":"2023-02-14T22:31:49.361068Z"},"papermill":{"duration":0.029102,"end_time":"2023-02-14T22:31:49.363934","exception":false,"start_time":"2023-02-14T22:31:49.334832","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date and Time</th>\n","      <th>AVG power</th>\n","    </tr>\n"," 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Time']\n","power_11_df"]},{"cell_type":"code","execution_count":8,"id":"64834c55","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.395387Z","iopub.status.busy":"2023-02-14T22:31:49.394624Z","iopub.status.idle":"2023-02-14T22:31:49.405534Z","shell.execute_reply":"2023-02-14T22:31:49.404621Z"},"papermill":{"duration":0.028376,"end_time":"2023-02-14T22:31:49.407378","exception":false,"start_time":"2023-02-14T22:31:49.379002","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date and Time</th>\n","      <th>AVG power</th>\n","    </tr>\n"," 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Time']\n","power_12_df"]},{"cell_type":"code","execution_count":9,"id":"c484fbdb","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.439221Z","iopub.status.busy":"2023-02-14T22:31:49.438398Z","iopub.status.idle":"2023-02-14T22:31:49.451117Z","shell.execute_reply":"2023-02-14T22:31:49.450162Z"},"papermill":{"duration":0.030275,"end_time":"2023-02-14T22:31:49.453012","exception":false,"start_time":"2023-02-14T22:31:49.422737","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Date and Time</th>\n","      <th>AVG power</th>\n","    </tr>\n"," 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<th>2878</th>\n","      <td>NaT</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2879</th>\n","      <td>NaT</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8640 rows × 2 columns</p>\n","</div>"],"text/plain":["           Date and Time  AVG power\n","0    2019-09-10 00:00:00        0.0\n","1    2019-09-10 00:00:00        0.0\n","2    2019-09-10 00:01:00        0.0\n","3    2019-09-10 00:01:00        0.0\n","4    2019-09-10 00:02:00        0.0\n","...                  ...        ...\n","2875                 NaT        NaN\n","2876                 NaT        NaN\n","2877                 NaT        NaN\n","2878                 NaT        NaN\n","2879                 NaT        NaN\n","\n","[8640 rows x 2 columns]"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["power_df = pd.concat([power_10_df, power_11_df, power_12_df], axis = 0)\n","power_df"]},{"cell_type":"code","execution_count":10,"id":"2f628419","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.484783Z","iopub.status.busy":"2023-02-14T22:31:49.483964Z","iopub.status.idle":"2023-02-14T22:31:49.491475Z","shell.execute_reply":"2023-02-14T22:31:49.490752Z"},"papermill":{"duration":0.025227,"end_time":"2023-02-14T22:31:49.493377","exception":false,"start_time":"2023-02-14T22:31:49.46815","status":"completed"},"tags":[]},"outputs":[],"source":["power_df.dropna(inplace=True)"]},{"cell_type":"code","execution_count":11,"id":"f56951fb","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.524481Z","iopub.status.busy":"2023-02-14T22:31:49.524148Z","iopub.status.idle":"2023-02-14T22:31:49.760301Z","shell.execute_reply":"2023-02-14T22:31:49.759378Z"},"papermill":{"duration":0.25401,"end_time":"2023-02-14T22:31:49.762545","exception":false,"start_time":"2023-02-14T22:31:49.508535","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Show the plot\n","plt.style.use('ggplot')\n","plt.plot(power_df['Date and Time'], power_df['AVG power'])\n","plt.show()"]},{"cell_type":"code","execution_count":12,"id":"9a58c67c","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.796452Z","iopub.status.busy":"2023-02-14T22:31:49.795648Z","iopub.status.idle":"2023-02-14T22:31:49.813359Z","shell.execute_reply":"2023-02-14T22:31:49.812089Z"},"papermill":{"duration":0.038207,"end_time":"2023-02-14T22:31:49.816181","exception":false,"start_time":"2023-02-14T22:31:49.777974","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>AVG power</th>\n","    </tr>\n","    <tr>\n","      <th>Date and Time</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2019-09-10 00:00:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-10 00:01:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-10 00:02:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-10 00:03:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-10 00:04:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-12 20:03:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-12 20:04:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-12 20:05:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-12 20:06:00</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-09-12 20:07:00</th>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>4088 rows × 1 columns</p>\n","</div>"],"text/plain":["                     AVG power\n","Date and Time                 \n","2019-09-10 00:00:00        0.0\n","2019-09-10 00:01:00        0.0\n","2019-09-10 00:02:00        0.0\n","2019-09-10 00:03:00        0.0\n","2019-09-10 00:04:00        0.0\n","...                        ...\n","2019-09-12 20:03:00        0.0\n","2019-09-12 20:04:00        0.0\n","2019-09-12 20:05:00        0.0\n","2019-09-12 20:06:00        0.0\n","2019-09-12 20:07:00        0.0\n","\n","[4088 rows x 1 columns]"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["power_df_avg = power_df.groupby('Date and Time').mean()\n","power_df_avg"]},{"cell_type":"code","execution_count":13,"id":"34788106","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.855454Z","iopub.status.busy":"2023-02-14T22:31:49.8546Z","iopub.status.idle":"2023-02-14T22:31:49.870801Z","shell.execute_reply":"2023-02-14T22:31:49.869602Z"},"papermill":{"duration":0.037611,"end_time":"2023-02-14T22:31:49.873204","exception":false,"start_time":"2023-02-14T22:31:49.835593","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>AVG power</th>\n","      <th>DateTime</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.0</td>\n","      <td>2019-09-10 00:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.0</td>\n","      <td>2019-09-10 00:01:00</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.0</td>\n","      <td>2019-09-10 00:02:00</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.0</td>\n","      <td>2019-09-10 00:03:00</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.0</td>\n","      <td>2019-09-10 00:04:00</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>4083</th>\n","      <td>0.0</td>\n","      <td>2019-09-12 20:03:00</td>\n","    </tr>\n","    <tr>\n","      <th>4084</th>\n","      <td>0.0</td>\n","      <td>2019-09-12 20:04:00</td>\n","    </tr>\n","    <tr>\n","      <th>4085</th>\n","      <td>0.0</td>\n","      <td>2019-09-12 20:05:00</td>\n","    </tr>\n","    <tr>\n","      <th>4086</th>\n","      <td>0.0</td>\n","      <td>2019-09-12 20:06:00</td>\n","    </tr>\n","    <tr>\n","      <th>4087</th>\n","      <td>0.0</td>\n","      <td>2019-09-12 20:07:00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>4088 rows × 2 columns</p>\n","</div>"],"text/plain":["      AVG power            DateTime\n","0           0.0 2019-09-10 00:00:00\n","1           0.0 2019-09-10 00:01:00\n","2           0.0 2019-09-10 00:02:00\n","3           0.0 2019-09-10 00:03:00\n","4           0.0 2019-09-10 00:04:00\n","...         ...                 ...\n","4083        0.0 2019-09-12 20:03:00\n","4084        0.0 2019-09-12 20:04:00\n","4085        0.0 2019-09-12 20:05:00\n","4086        0.0 2019-09-12 20:06:00\n","4087        0.0 2019-09-12 20:07:00\n","\n","[4088 rows x 2 columns]"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["power_df_avg['DateTime'] = power_df_avg.index\n","power_df_avg = power_df_avg.reset_index(drop=True)\n","power_df_avg"]},{"cell_type":"code","execution_count":14,"id":"9b8ff894","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:49.909767Z","iopub.status.busy":"2023-02-14T22:31:49.908827Z","iopub.status.idle":"2023-02-14T22:31:50.126157Z","shell.execute_reply":"2023-02-14T22:31:50.117521Z"},"papermill":{"duration":0.241011,"end_time":"2023-02-14T22:31:50.132278","exception":false,"start_time":"2023-02-14T22:31:49.891267","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(power_df_avg['AVG power'])\n","plt.show()"]},{"cell_type":"code","execution_count":15,"id":"e375bb42","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.210528Z","iopub.status.busy":"2023-02-14T22:31:50.209743Z","iopub.status.idle":"2023-02-14T22:31:50.230821Z","shell.execute_reply":"2023-02-14T22:31:50.229834Z"},"papermill":{"duration":0.058268,"end_time":"2023-02-14T22:31:50.232965","exception":false,"start_time":"2023-02-14T22:31:50.174697","status":"completed"},"tags":[]},"outputs":[],"source":["time_10_df = pd.read_csv('/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Time.csv')"]},{"cell_type":"code","execution_count":16,"id":"a4c71fe8","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.300074Z","iopub.status.busy":"2023-02-14T22:31:50.299727Z","iopub.status.idle":"2023-02-14T22:31:50.326181Z","shell.execute_reply":"2023-02-14T22:31:50.325263Z"},"papermill":{"duration":0.062738,"end_time":"2023-02-14T22:31:50.328953","exception":false,"start_time":"2023-02-14T22:31:50.266215","status":"completed"},"tags":[]},"outputs":[],"source":["time_11_df = pd.read_csv('/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/11_09_2019/Time.csv')\n","time_12_df = pd.read_csv('/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/12_09_2019/Time.csv')"]},{"cell_type":"code","execution_count":17,"id":"1d89f998","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.384036Z","iopub.status.busy":"2023-02-14T22:31:50.383722Z","iopub.status.idle":"2023-02-14T22:31:50.398984Z","shell.execute_reply":"2023-02-14T22:31:50.398213Z"},"papermill":{"duration":0.045154,"end_time":"2023-02-14T22:31:50.401622","exception":false,"start_time":"2023-02-14T22:31:50.356468","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Image Number</th>\n","      <th>Hours</th>\n","      <th>Minutes</th>\n","      <th>Seconds</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>42</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>52</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2995</th>\n","      <td>2996</td>\n","      <td>16</td>\n","      <td>19</td>\n","      <td>42</td>\n","    </tr>\n","    <tr>\n","      <th>2996</th>\n","      <td>2997</td>\n","      <td>16</td>\n","      <td>19</td>\n","      <td>52</td>\n","    </tr>\n","    <tr>\n","      <th>2997</th>\n","      <td>2998</td>\n","      <td>16</td>\n","      <td>20</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>2998</th>\n","      <td>2999</td>\n","      <td>16</td>\n","      <td>20</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>2999</th>\n","      <td>3000</td>\n","      <td>16</td>\n","      <td>20</td>\n","      <td>27</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3000 rows × 4 columns</p>\n","</div>"],"text/plain":["      Image Number  Hours  Minutes  Seconds\n","0                1      8        0       12\n","1                2      8        0       22\n","2                3      8        0       32\n","3                4      8        0       42\n","4                5      8        0       52\n","...            ...    ...      ...      ...\n","2995          2996     16       19       42\n","2996          2997     16       19       52\n","2997          2998     16       20        2\n","2998          2999     16       20       12\n","2999          3000     16       20       27\n","\n","[3000 rows x 4 columns]"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["time_11_df"]},{"cell_type":"code","execution_count":18,"id":"1e293bd9","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.450611Z","iopub.status.busy":"2023-02-14T22:31:50.450249Z","iopub.status.idle":"2023-02-14T22:31:50.468848Z","shell.execute_reply":"2023-02-14T22:31:50.468044Z"},"papermill":{"duration":0.045651,"end_time":"2023-02-14T22:31:50.471255","exception":false,"start_time":"2023-02-14T22:31:50.425604","status":"completed"},"tags":[]},"outputs":[],"source":["time_10_df['Date and Time'] = pd.to_datetime(time_10_df[['Hours', 'Minutes', 'Seconds']].assign(Day=10, Month=9, Year=2019))\n","time_10_df = time_10_df.drop(['Hours', 'Minutes', 'Seconds'], axis=1)"]},{"cell_type":"code","execution_count":19,"id":"72be2a45","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.523578Z","iopub.status.busy":"2023-02-14T22:31:50.523268Z","iopub.status.idle":"2023-02-14T22:31:50.539904Z","shell.execute_reply":"2023-02-14T22:31:50.53899Z"},"papermill":{"duration":0.045181,"end_time":"2023-02-14T22:31:50.542408","exception":false,"start_time":"2023-02-14T22:31:50.497227","status":"completed"},"tags":[]},"outputs":[],"source":["time_11_df['Date and Time'] = pd.to_datetime(time_11_df[['Hours', 'Minutes', 'Seconds']].assign(Day=11, Month=9, Year=2019))\n","time_11_df = time_11_df.drop(['Hours', 'Minutes', 'Seconds'], axis=1)"]},{"cell_type":"code","execution_count":20,"id":"ee5de4d1","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.593977Z","iopub.status.busy":"2023-02-14T22:31:50.593677Z","iopub.status.idle":"2023-02-14T22:31:50.609923Z","shell.execute_reply":"2023-02-14T22:31:50.609185Z"},"papermill":{"duration":0.044682,"end_time":"2023-02-14T22:31:50.612393","exception":false,"start_time":"2023-02-14T22:31:50.567711","status":"completed"},"tags":[]},"outputs":[],"source":["time_12_df['Date and Time'] = pd.to_datetime(time_12_df[['Hours', 'Minutes', 'Seconds']].assign(Day=12, Month=9, Year=2019))\n","time_12_df = time_12_df.drop(['Hours', 'Minutes', 'Seconds'], axis=1)"]},{"cell_type":"code","execution_count":21,"id":"3a7ceaee","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:50.670842Z","iopub.status.busy":"2023-02-14T22:31:50.670582Z","iopub.status.idle":"2023-02-14T22:31:50.683103Z","shell.execute_reply":"2023-02-14T22:31:50.682208Z"},"papermill":{"duration":0.043962,"end_time":"2023-02-14T22:31:50.685128","exception":false,"start_time":"2023-02-14T22:31:50.641166","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Image Number</th>\n","      <th>Date and Time</th>\n","    </tr>\n","  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time_10_df.groupby('DateTime')"]},{"cell_type":"code","execution_count":36,"id":"79236e04","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.375978Z","iopub.status.busy":"2023-02-14T22:31:51.375164Z","iopub.status.idle":"2023-02-14T22:31:51.380025Z","shell.execute_reply":"2023-02-14T22:31:51.379235Z"},"papermill":{"duration":0.02516,"end_time":"2023-02-14T22:31:51.381922","exception":false,"start_time":"2023-02-14T22:31:51.356762","status":"completed"},"tags":[]},"outputs":[],"source":["grouped_11 = time_11_df.groupby('DateTime')\n","grouped_12 = time_12_df.groupby('DateTime')"]},{"cell_type":"code","execution_count":37,"id":"7beef56f","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.419062Z","iopub.status.busy":"2023-02-14T22:31:51.418198Z","iopub.status.idle":"2023-02-14T22:31:51.428956Z","shell.execute_reply":"2023-02-14T22:31:51.42817Z"},"papermill":{"duration":0.031341,"end_time":"2023-02-14T22:31:51.430836","exception":false,"start_time":"2023-02-14T22:31:51.399495","status":"completed"},"tags":[]},"outputs":[],"source":["aggregated = grouped['FilePath'].agg(lambda x: ','.join(x))"]},{"cell_type":"code","execution_count":38,"id":"71422230","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.467644Z","iopub.status.busy":"2023-02-14T22:31:51.466908Z","iopub.status.idle":"2023-02-14T22:31:51.480171Z","shell.execute_reply":"2023-02-14T22:31:51.479367Z"},"papermill":{"duration":0.033531,"end_time":"2023-02-14T22:31:51.482098","exception":false,"start_time":"2023-02-14T22:31:51.448567","status":"completed"},"tags":[]},"outputs":[],"source":["aggregated_11 = grouped_11['FilePath'].agg(lambda x: ','.join(x))\n","aggregated_12 = grouped_12['FilePath'].agg(lambda x: ','.join(x))"]},{"cell_type":"code","execution_count":39,"id":"db0f7e2a","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.518808Z","iopub.status.busy":"2023-02-14T22:31:51.518081Z","iopub.status.idle":"2023-02-14T22:31:51.530287Z","shell.execute_reply":"2023-02-14T22:31:51.52938Z"},"papermill":{"duration":0.032502,"end_time":"2023-02-14T22:31:51.53222","exception":false,"start_time":"2023-02-14T22:31:51.499718","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>DateTime</th>\n","      <th>FilePaths</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-09-10 08:00:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-09-10 08:01:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-09-10 08:02:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-09-10 08:03:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-09-10 08:04:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>496</th>\n","      <td>2019-09-10 16:16:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>497</th>\n","      <td>2019-09-10 16:17:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>498</th>\n","      <td>2019-09-10 16:18:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>499</th>\n","      <td>2019-09-10 16:19:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>500</th>\n","      <td>2019-09-10 16:20:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>501 rows × 2 columns</p>\n","</div>"],"text/plain":["               DateTime                                          FilePaths\n","0   2019-09-10 08:00:00  /kaggle/input/solar-energy-forecasting-using-l...\n","1   2019-09-10 08:01:00  /kaggle/input/solar-energy-forecasting-using-l...\n","2   2019-09-10 08:02:00  /kaggle/input/solar-energy-forecasting-using-l...\n","3   2019-09-10 08:03:00  /kaggle/input/solar-energy-forecasting-using-l...\n","4   2019-09-10 08:04:00  /kaggle/input/solar-energy-forecasting-using-l...\n","..                  ...                                                ...\n","496 2019-09-10 16:16:00  /kaggle/input/solar-energy-forecasting-using-l...\n","497 2019-09-10 16:17:00  /kaggle/input/solar-energy-forecasting-using-l...\n","498 2019-09-10 16:18:00  /kaggle/input/solar-energy-forecasting-using-l...\n","499 2019-09-10 16:19:00  /kaggle/input/solar-energy-forecasting-using-l...\n","500 2019-09-10 16:20:00  /kaggle/input/solar-energy-forecasting-using-l...\n","\n","[501 rows x 2 columns]"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["result = aggregated.reset_index().rename(columns={'FilePath': 'FilePaths'})\n","result"]},{"cell_type":"code","execution_count":40,"id":"286e0f6d","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.569547Z","iopub.status.busy":"2023-02-14T22:31:51.569247Z","iopub.status.idle":"2023-02-14T22:31:51.575769Z","shell.execute_reply":"2023-02-14T22:31:51.574841Z"},"papermill":{"duration":0.027513,"end_time":"2023-02-14T22:31:51.577615","exception":false,"start_time":"2023-02-14T22:31:51.550102","status":"completed"},"tags":[]},"outputs":[],"source":["result_11 = aggregated_11.reset_index().rename(columns={'FilePath': 'FilePaths'})\n","result_12 = aggregated_12.reset_index().rename(columns={'FilePath': 'FilePaths'})"]},{"cell_type":"code","execution_count":41,"id":"1ce77c87","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.61436Z","iopub.status.busy":"2023-02-14T22:31:51.613625Z","iopub.status.idle":"2023-02-14T22:31:51.624508Z","shell.execute_reply":"2023-02-14T22:31:51.623562Z"},"papermill":{"duration":0.03126,"end_time":"2023-02-14T22:31:51.626483","exception":false,"start_time":"2023-02-14T22:31:51.595223","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>DateTime</th>\n","      <th>FilePaths</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-09-11 08:00:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-09-11 08:01:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-09-11 08:02:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-09-11 08:03:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-09-11 08:04:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>496</th>\n","      <td>2019-09-11 16:16:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>497</th>\n","      <td>2019-09-11 16:17:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>498</th>\n","      <td>2019-09-11 16:18:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>499</th>\n","      <td>2019-09-11 16:19:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>500</th>\n","      <td>2019-09-11 16:20:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>501 rows × 2 columns</p>\n","</div>"],"text/plain":["               DateTime                                          FilePaths\n","0   2019-09-11 08:00:00  /kaggle/input/solar-energy-forecasting-using-l...\n","1   2019-09-11 08:01:00  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columns]"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["result_11"]},{"cell_type":"code","execution_count":42,"id":"95fb683f","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.664478Z","iopub.status.busy":"2023-02-14T22:31:51.663958Z","iopub.status.idle":"2023-02-14T22:31:51.675605Z","shell.execute_reply":"2023-02-14T22:31:51.674549Z"},"papermill":{"duration":0.032877,"end_time":"2023-02-14T22:31:51.677535","exception":false,"start_time":"2023-02-14T22:31:51.644658","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>DateTime</th>\n","      <th>FilePaths</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-09-12 08:00:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-09-12 08:01:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-09-12 08:02:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-09-12 08:03:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-09-12 08:04:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>496</th>\n","      <td>2019-09-12 16:16:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>497</th>\n","      <td>2019-09-12 16:17:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>498</th>\n","      <td>2019-09-12 16:18:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>499</th>\n","      <td>2019-09-12 16:19:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>500</th>\n","      <td>2019-09-12 16:20:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>501 rows × 2 columns</p>\n","</div>"],"text/plain":["               DateTime                                          FilePaths\n","0   2019-09-12 08:00:00  /kaggle/input/solar-energy-forecasting-using-l...\n","1   2019-09-12 08:01:00  /kaggle/input/solar-energy-forecasting-using-l...\n","2   2019-09-12 08:02:00  /kaggle/input/solar-energy-forecasting-using-l...\n","3   2019-09-12 08:03:00  /kaggle/input/solar-energy-forecasting-using-l...\n","4   2019-09-12 08:04:00  /kaggle/input/solar-energy-forecasting-using-l...\n","..                  ...                                                ...\n","496 2019-09-12 16:16:00  /kaggle/input/solar-energy-forecasting-using-l...\n","497 2019-09-12 16:17:00  /kaggle/input/solar-energy-forecasting-using-l...\n","498 2019-09-12 16:18:00  /kaggle/input/solar-energy-forecasting-using-l...\n","499 2019-09-12 16:19:00  /kaggle/input/solar-energy-forecasting-using-l...\n","500 2019-09-12 16:20:00  /kaggle/input/solar-energy-forecasting-using-l...\n","\n","[501 rows x 2 columns]"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["result_12"]},{"cell_type":"code","execution_count":43,"id":"3314b329","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.715536Z","iopub.status.busy":"2023-02-14T22:31:51.714722Z","iopub.status.idle":"2023-02-14T22:31:51.720934Z","shell.execute_reply":"2023-02-14T22:31:51.719489Z"},"papermill":{"duration":0.02706,"end_time":"2023-02-14T22:31:51.722841","exception":false,"start_time":"2023-02-14T22:31:51.695781","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/1.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/2.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/3.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/4.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/5.jpg\n","/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/6.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/7.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/8.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/9.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/10.jpg,/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/11.jpg\n"]}],"source":["print(result['FilePaths'].iloc[0])\n","print(result['FilePaths'].iloc[1])"]},{"cell_type":"code","execution_count":44,"id":"ca961105","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.760869Z","iopub.status.busy":"2023-02-14T22:31:51.760019Z","iopub.status.idle":"2023-02-14T22:31:51.76669Z","shell.execute_reply":"2023-02-14T22:31:51.765888Z"},"papermill":{"duration":0.027494,"end_time":"2023-02-14T22:31:51.768573","exception":false,"start_time":"2023-02-14T22:31:51.741079","status":"completed"},"tags":[]},"outputs":[],"source":["result['NumberFiles'] = result['FilePaths'].str.split(',').str.len()"]},{"cell_type":"code","execution_count":45,"id":"8db4ec9a","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.806656Z","iopub.status.busy":"2023-02-14T22:31:51.805903Z","iopub.status.idle":"2023-02-14T22:31:51.814584Z","shell.execute_reply":"2023-02-14T22:31:51.813764Z"},"papermill":{"duration":0.029655,"end_time":"2023-02-14T22:31:51.816466","exception":false,"start_time":"2023-02-14T22:31:51.786811","status":"completed"},"tags":[]},"outputs":[],"source":["result_11['NumberFiles'] = result_11['FilePaths'].str.split(',').str.len()\n","result_12['NumberFiles'] = result_12['FilePaths'].str.split(',').str.len()"]},{"cell_type":"code","execution_count":46,"id":"be767ad4","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:51.854455Z","iopub.status.busy":"2023-02-14T22:31:51.85371Z","iopub.status.idle":"2023-02-14T22:31:52.040896Z","shell.execute_reply":"2023-02-14T22:31:52.040059Z"},"papermill":{"duration":0.208135,"end_time":"2023-02-14T22:31:52.042833","exception":false,"start_time":"2023-02-14T22:31:51.834698","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["import matplotlib.pyplot as plt\n","\n","# Show the plot\n","plt.hist(result['NumberFiles'], bins=10)\n","plt.show()"]},{"cell_type":"code","execution_count":47,"id":"17cd9dd6","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.081539Z","iopub.status.busy":"2023-02-14T22:31:52.080651Z","iopub.status.idle":"2023-02-14T22:31:52.094252Z","shell.execute_reply":"2023-02-14T22:31:52.093181Z"},"papermill":{"duration":0.035188,"end_time":"2023-02-14T22:31:52.096593","exception":false,"start_time":"2023-02-14T22:31:52.061405","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>DateTime</th>\n","      <th>FilePaths</th>\n","      <th>NumberFiles</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-09-10 08:00:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-09-10 08:01:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-09-10 08:02:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-09-10 08:03:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-09-10 08:04:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>496</th>\n","      <td>2019-09-12 16:16:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>497</th>\n","      <td>2019-09-12 16:17:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>498</th>\n","      <td>2019-09-12 16:18:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>499</th>\n","      <td>2019-09-12 16:19:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>500</th>\n","      <td>2019-09-12 16:20:00</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>5</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1503 rows × 3 columns</p>\n","</div>"],"text/plain":["               DateTime                                          FilePaths  \\\n","0   2019-09-10 08:00:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","1   2019-09-10 08:01:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","2   2019-09-10 08:02:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","3   2019-09-10 08:03:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","4   2019-09-10 08:04:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","..                  ...                                                ...   \n","496 2019-09-12 16:16:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","497 2019-09-12 16:17:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","498 2019-09-12 16:18:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","499 2019-09-12 16:19:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","500 2019-09-12 16:20:00  /kaggle/input/solar-energy-forecasting-using-l...   \n","\n","     NumberFiles  \n","0              5  \n","1              6  \n","2              6  \n","3              6  \n","4              6  \n","..           ...  \n","496            6  \n","497            6  \n","498            6  \n","499            6  \n","500            5  \n","\n","[1503 rows x 3 columns]"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["images_df = pd.concat([result, result_11, result_12], axis = 0)\n","images_df"]},{"cell_type":"code","execution_count":48,"id":"c0727401","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.136037Z","iopub.status.busy":"2023-02-14T22:31:52.135173Z","iopub.status.idle":"2023-02-14T22:31:52.147826Z","shell.execute_reply":"2023-02-14T22:31:52.146788Z"},"papermill":{"duration":0.034189,"end_time":"2023-02-14T22:31:52.150018","exception":false,"start_time":"2023-02-14T22:31:52.115829","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>AVG power</th>\n","      <th>DateTime</th>\n","    </tr>\n","  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NumberFiles  \n","0     /kaggle/input/solar-energy-forecasting-using-l...            5  \n","1     /kaggle/input/solar-energy-forecasting-using-l...            6  \n","2     /kaggle/input/solar-energy-forecasting-using-l...            6  \n","3     /kaggle/input/solar-energy-forecasting-using-l...            6  \n","4     /kaggle/input/solar-energy-forecasting-using-l...            6  \n","...                                                 ...          ...  \n","1498  /kaggle/input/solar-energy-forecasting-using-l...            6  \n","1499  /kaggle/input/solar-energy-forecasting-using-l...            6  \n","1500  /kaggle/input/solar-energy-forecasting-using-l...            6  \n","1501  /kaggle/input/solar-energy-forecasting-using-l...            6  \n","1502  /kaggle/input/solar-energy-forecasting-using-l...            5  \n","\n","[1503 rows x 4 columns]"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["cols = list(merged_df.columns)\n","cols.insert(0, cols.pop(cols.index('DateTime')))\n","merged_df = merged_df.loc[:, cols]\n","merged_df"]},{"cell_type":"code","execution_count":51,"id":"316cff52","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.306126Z","iopub.status.busy":"2023-02-14T22:31:52.305398Z","iopub.status.idle":"2023-02-14T22:31:52.315472Z","shell.execute_reply":"2023-02-14T22:31:52.314162Z"},"papermill":{"duration":0.032377,"end_time":"2023-02-14T22:31:52.317917","exception":false,"start_time":"2023-02-14T22:31:52.28554","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/1.jpg\n"]}],"source":["merged_df['FirstImage'] = merged_df['FilePaths'].str.split(',').str[0]\n","print(merged_df['FirstImage'][0])"]},{"cell_type":"code","execution_count":52,"id":"4edb1ad6","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.358112Z","iopub.status.busy":"2023-02-14T22:31:52.357516Z","iopub.status.idle":"2023-02-14T22:31:52.551119Z","shell.execute_reply":"2023-02-14T22:31:52.550223Z"},"papermill":{"duration":0.215623,"end_time":"2023-02-14T22:31:52.553128","exception":false,"start_time":"2023-02-14T22:31:52.337505","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(merged_df['AVG power'])\n","plt.show()"]},{"cell_type":"code","execution_count":53,"id":"34ff4f53","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.593153Z","iopub.status.busy":"2023-02-14T22:31:52.592887Z","iopub.status.idle":"2023-02-14T22:31:52.60011Z","shell.execute_reply":"2023-02-14T22:31:52.59921Z"},"papermill":{"duration":0.029474,"end_time":"2023-02-14T22:31:52.602116","exception":false,"start_time":"2023-02-14T22:31:52.572642","status":"completed"},"tags":[]},"outputs":[],"source":["image_lists = merged_df['FilePaths'].str.split(',')\n","image_lists = image_lists.to_list()\n","image_list = [item for sublist in image_lists for item in sublist]"]},{"cell_type":"code","execution_count":54,"id":"f70a42d0","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.642549Z","iopub.status.busy":"2023-02-14T22:31:52.641816Z","iopub.status.idle":"2023-02-14T22:31:52.648008Z","shell.execute_reply":"2023-02-14T22:31:52.647075Z"},"papermill":{"duration":0.028324,"end_time":"2023-02-14T22:31:52.649938","exception":false,"start_time":"2023-02-14T22:31:52.621614","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["'/kaggle/input/solar-energy-forecasting-using-low-res-sky-images/Low-res sky images kaggle/Sky images/10_09_2019/Images/1.jpg'"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["image_list[0]"]},{"cell_type":"code","execution_count":55,"id":"361f46c3","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.691053Z","iopub.status.busy":"2023-02-14T22:31:52.690302Z","iopub.status.idle":"2023-02-14T22:31:52.716312Z","shell.execute_reply":"2023-02-14T22:31:52.714828Z"},"papermill":{"duration":0.049156,"end_time":"2023-02-14T22:31:52.718861","exception":false,"start_time":"2023-02-14T22:31:52.669705","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Image size: 1024 x 768\n","Image format: JPEG\n","Image mode: RGB\n"]}],"source":["from PIL import Image\n","\n","# Set the file path of the image you want to get details of\n","image_path = image_list[0]\n","\n","# Open the image using Pillow\n","image = Image.open(image_path)\n","\n","# Get the details of the image\n","width, height = image.size\n","format = image.format\n","mode = image.mode\n","\n","# Print the details of the image\n","print(f\"Image size: {width} x {height}\")\n","print(f\"Image format: {format}\")\n","print(f\"Image mode: {mode}\")"]},{"cell_type":"code","execution_count":56,"id":"14440811","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:31:52.760629Z","iopub.status.busy":"2023-02-14T22:31:52.759767Z","iopub.status.idle":"2023-02-14T22:32:03.239917Z","shell.execute_reply":"2023-02-14T22:32:03.238781Z"},"papermill":{"duration":10.503442,"end_time":"2023-02-14T22:32:03.242699","exception":false,"start_time":"2023-02-14T22:31:52.739257","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: opencv-python in /opt/conda/lib/python3.7/site-packages (4.5.4.60)\r\n","Requirement already satisfied: numpy>=1.14.5 in /opt/conda/lib/python3.7/site-packages (from opencv-python) (1.21.6)\r\n","\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n","\u001b[0m"]}],"source":["!pip install opencv-python"]},{"cell_type":"code","execution_count":57,"id":"8dd340d2","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:03.285378Z","iopub.status.busy":"2023-02-14T22:32:03.285032Z","iopub.status.idle":"2023-02-14T22:32:04.368221Z","shell.execute_reply":"2023-02-14T22:32:04.36739Z"},"papermill":{"duration":1.111995,"end_time":"2023-02-14T22:32:04.37526","exception":false,"start_time":"2023-02-14T22:32:03.263265","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1152x576 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["import cv2 as cv\n","import numpy as np\n","import matplotlib.pyplot as plt\n","\n","img = cv.imread(image_list[1])\n","gray_image = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n","\n","fig, ax = plt.subplots(1, 2, figsize=(16, 8))\n","fig.tight_layout()\n","\n","ax[0].imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n","ax[0].set_title(\"Original\")\n","\n","ax[1].imshow(cv.cvtColor(gray_image, cv.COLOR_BGR2RGB))\n","ax[1].set_title(\"Grayscale\")\n","plt.show()"]},{"cell_type":"markdown","id":"6e1c7603","metadata":{"execution":{"iopub.execute_input":"2023-02-14T18:14:22.84032Z","iopub.status.busy":"2023-02-14T18:14:22.839931Z","iopub.status.idle":"2023-02-14T18:14:22.849974Z","shell.execute_reply":"2023-02-14T18:14:22.848569Z","shell.execute_reply.started":"2023-02-14T18:14:22.840288Z"},"papermill":{"duration":0.025502,"end_time":"2023-02-14T22:32:04.426693","exception":false,"start_time":"2023-02-14T22:32:04.401191","status":"completed"},"tags":[]},"source":["from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","\n","# Define the image size and batch size\n","img_size = (256, 256)\n","batch_size = 32\n","\n","# Define the ImageDataGenerator with the desired preprocessing options\n","datagen = ImageDataGenerator(rescale=1./255,\n","                             rotation_range=20,\n","                             width_shift_range=0.2,\n","                             height_shift_range=0.2,\n","                             shear_range=0.2,\n","                             zoom_range=0.2,\n","                             horizontal_flip=True)\n","\n","# Define a function to load and preprocess the data\n","def load_data(df, img_size, batch_size):\n","    # Use the datagen.flow_from_dataframe method to load and preprocess the images\n","    data_generator = datagen.flow_from_dataframe(dataframe=df,\n","                                                  directory=None,\n","                                                  x_col=\"FirstImage\",\n","                                                  y_col=\"AVG power\",\n","                                                  target_size=img_size,\n","                                                  batch_size=batch_size,\n","                                                  class_mode=\"raw\")\n","    \n","    # Define a generator function to yield the images and their corresponding linear output\n","    def generator():\n","        for batch in data_generator:\n","            # Extract the linear output from the batch\n","            y = batch[1]\n","            # Convert the image data to float32 and normalize to the range [0, 1]\n","            x = batch[0].astype(\"float32\") / 255.0\n","            yield x, y\n","    \n","    return generator\n"]},{"cell_type":"code","execution_count":58,"id":"c8d899fa","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:04.479224Z","iopub.status.busy":"2023-02-14T22:32:04.478922Z","iopub.status.idle":"2023-02-14T22:32:04.495374Z","shell.execute_reply":"2023-02-14T22:32:04.494385Z"},"papermill":{"duration":0.044831,"end_time":"2023-02-14T22:32:04.497312","exception":false,"start_time":"2023-02-14T22:32:04.452481","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>DateTime</th>\n","      <th>AVG power</th>\n","      <th>FilePaths</th>\n","      <th>NumberFiles</th>\n","      <th>FirstImage</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-09-10 08:00:00</td>\n","      <td>1350.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>5</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-09-10 08:01:00</td>\n","      <td>1315.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-09-10 08:02:00</td>\n","      <td>1340.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-09-10 08:03:00</td>\n","      <td>1365.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-09-10 08:04:00</td>\n","      <td>1395.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1498</th>\n","      <td>2019-09-12 16:16:00</td>\n","      <td>486.5</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1499</th>\n","      <td>2019-09-12 16:17:00</td>\n","      <td>471.5</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1500</th>\n","      <td>2019-09-12 16:18:00</td>\n","      <td>474.5</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1501</th>\n","      <td>2019-09-12 16:19:00</td>\n","      <td>476.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>6</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","    <tr>\n","      <th>1502</th>\n","      <td>2019-09-12 16:20:00</td>\n","      <td>478.0</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>5</td>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1503 rows × 5 columns</p>\n","</div>"],"text/plain":["                DateTime  AVG power  \\\n","0    2019-09-10 08:00:00     1350.0   \n","1    2019-09-10 08:01:00     1315.0   \n","2    2019-09-10 08:02:00     1340.0   \n","3    2019-09-10 08:03:00     1365.0   \n","4    2019-09-10 08:04:00     1395.0   \n","...                  ...        ...   \n","1498 2019-09-12 16:16:00      486.5   \n","1499 2019-09-12 16:17:00      471.5   \n","1500 2019-09-12 16:18:00      474.5   \n","1501 2019-09-12 16:19:00      476.0   \n","1502 2019-09-12 16:20:00      478.0   \n","\n","                                              FilePaths  NumberFiles  \\\n","0     /kaggle/input/solar-energy-forecasting-using-l...            5   \n","1     /kaggle/input/solar-energy-forecasting-using-l...            6   \n","2     /kaggle/input/solar-energy-forecasting-using-l...            6   \n","3     /kaggle/input/solar-energy-forecasting-using-l...            6   \n","4     /kaggle/input/solar-energy-forecasting-using-l...            6   \n","...                                                 ...          ...   \n","1498  /kaggle/input/solar-energy-forecasting-using-l...            6   \n","1499  /kaggle/input/solar-energy-forecasting-using-l...            6   \n","1500  /kaggle/input/solar-energy-forecasting-using-l...            6   \n","1501  /kaggle/input/solar-energy-forecasting-using-l...            6   \n","1502  /kaggle/input/solar-energy-forecasting-using-l...            5   \n","\n","                                             FirstImage  \n","0     /kaggle/input/solar-energy-forecasting-using-l...  \n","1     /kaggle/input/solar-energy-forecasting-using-l...  \n","2     /kaggle/input/solar-energy-forecasting-using-l...  \n","3     /kaggle/input/solar-energy-forecasting-using-l...  \n","4     /kaggle/input/solar-energy-forecasting-using-l...  \n","...                                                 ...  \n","1498  /kaggle/input/solar-energy-forecasting-using-l...  \n","1499  /kaggle/input/solar-energy-forecasting-using-l...  \n","1500  /kaggle/input/solar-energy-forecasting-using-l...  \n","1501  /kaggle/input/solar-energy-forecasting-using-l...  \n","1502  /kaggle/input/solar-energy-forecasting-using-l...  \n","\n","[1503 rows x 5 columns]"]},"execution_count":58,"metadata":{},"output_type":"execute_result"}],"source":["merged_df"]},{"cell_type":"code","execution_count":59,"id":"f846ffd2","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:04.54992Z","iopub.status.busy":"2023-02-14T22:32:04.549218Z","iopub.status.idle":"2023-02-14T22:32:04.555711Z","shell.execute_reply":"2023-02-14T22:32:04.554755Z"},"papermill":{"duration":0.03506,"end_time":"2023-02-14T22:32:04.55771","exception":false,"start_time":"2023-02-14T22:32:04.52265","status":"completed"},"tags":[]},"outputs":[],"source":["nn_data_df = pd.DataFrame(merged_df.loc[:, ['FirstImage', 'AVG power']])"]},{"cell_type":"code","execution_count":60,"id":"5c2ef616","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:04.610949Z","iopub.status.busy":"2023-02-14T22:32:04.610185Z","iopub.status.idle":"2023-02-14T22:32:04.62205Z","shell.execute_reply":"2023-02-14T22:32:04.621038Z"},"papermill":{"duration":0.040706,"end_time":"2023-02-14T22:32:04.623984","exception":false,"start_time":"2023-02-14T22:32:04.583278","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>FirstImage</th>\n","      <th>AVG power</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1350.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1315.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1340.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1365.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1395.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1498</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>486.5</td>\n","    </tr>\n","    <tr>\n","      <th>1499</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>471.5</td>\n","    </tr>\n","    <tr>\n","      <th>1500</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>474.5</td>\n","    </tr>\n","    <tr>\n","      <th>1501</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>476.0</td>\n","    </tr>\n","    <tr>\n","      <th>1502</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>478.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1503 rows × 2 columns</p>\n","</div>"],"text/plain":["                                             FirstImage  AVG power\n","0     /kaggle/input/solar-energy-forecasting-using-l...     1350.0\n","1     /kaggle/input/solar-energy-forecasting-using-l...     1315.0\n","2     /kaggle/input/solar-energy-forecasting-using-l...     1340.0\n","3     /kaggle/input/solar-energy-forecasting-using-l...     1365.0\n","4     /kaggle/input/solar-energy-forecasting-using-l...     1395.0\n","...                                                 ...        ...\n","1498  /kaggle/input/solar-energy-forecasting-using-l...      486.5\n","1499  /kaggle/input/solar-energy-forecasting-using-l...      471.5\n","1500  /kaggle/input/solar-energy-forecasting-using-l...      474.5\n","1501  /kaggle/input/solar-energy-forecasting-using-l...      476.0\n","1502  /kaggle/input/solar-energy-forecasting-using-l...      478.0\n","\n","[1503 rows x 2 columns]"]},"execution_count":60,"metadata":{},"output_type":"execute_result"}],"source":["nn_data_df"]},{"cell_type":"code","execution_count":61,"id":"450b63a0","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:04.67716Z","iopub.status.busy":"2023-02-14T22:32:04.676889Z","iopub.status.idle":"2023-02-14T22:32:04.680699Z","shell.execute_reply":"2023-02-14T22:32:04.679765Z"},"papermill":{"duration":0.032852,"end_time":"2023-02-14T22:32:04.682729","exception":false,"start_time":"2023-02-14T22:32:04.649877","status":"completed"},"tags":[]},"outputs":[],"source":["# Use the load_data function to create a generator for the data\n","#data_generator = load_data(nn_data_df, img_size, batch_size)"]},{"cell_type":"code","execution_count":62,"id":"2233eb98","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:04.736261Z","iopub.status.busy":"2023-02-14T22:32:04.735982Z","iopub.status.idle":"2023-02-14T22:32:15.169985Z","shell.execute_reply":"2023-02-14T22:32:15.168999Z"},"papermill":{"duration":10.463225,"end_time":"2023-02-14T22:32:15.172342","exception":false,"start_time":"2023-02-14T22:32:04.709117","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["2023-02-14 22:32:10.111708: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:10.219201: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:10.220001: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:10.222009: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA\n","To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2023-02-14 22:32:10.222312: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:10.223072: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:10.223768: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:12.579901: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:12.580807: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:12.581543: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n","2023-02-14 22:32:12.582184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 15401 MB memory:  -> device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0\n"]},{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n","94773248/94765736 [==============================] - 1s 0us/step\n","94781440/94765736 [==============================] - 1s 0us/step\n"]}],"source":["from tensorflow.keras.layers import Input, Conv2D, BatchNormalization, Activation, MaxPooling2D, Flatten, Dense, Dropout\n","from tensorflow.keras.models import Model\n","from tensorflow.keras.applications.resnet50 import ResNet50\n","\n","# Define the input shape\n","input_shape = (256, 256, 3)\n","\n","# Define the number of output units (1 for linear output)\n","num_outputs = 1\n","\n","# Load the ResNet50 model with pre-trained weights\n","base_model = ResNet50(weights='imagenet', include_top=False, input_shape=input_shape)\n","\n","# Add a custom top layer for the linear output\n","x = base_model.output\n","x = Flatten()(x)\n","x = Dense(256, activation='relu')(x)\n","x = Dropout(0.5)(x)\n","output = Dense(num_outputs, activation='linear')(x)\n","\n","# Define the model with the base ResNet50 and the custom top layer\n","model = Model(inputs=base_model.input, outputs=output)\n","\n","# Freeze the weights of the base ResNet50 layers\n","for layer in base_model.layers:\n","    layer.trainable = False\n","\n","# Compile the model with a mean squared error loss function\n","model.compile(optimizer='adam', loss='mse', metrics='accuracy')"]},{"cell_type":"code","execution_count":63,"id":"d819c225","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.228616Z","iopub.status.busy":"2023-02-14T22:32:15.227171Z","iopub.status.idle":"2023-02-14T22:32:15.231889Z","shell.execute_reply":"2023-02-14T22:32:15.230939Z"},"papermill":{"duration":0.034275,"end_time":"2023-02-14T22:32:15.233862","exception":false,"start_time":"2023-02-14T22:32:15.199587","status":"completed"},"tags":[]},"outputs":[],"source":["#data_generator = load_data(nn_data_df, img_size, batch_size)\n","#batch = next(data_generator())\n","#print(batch)"]},{"cell_type":"code","execution_count":64,"id":"dcea630b","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.287882Z","iopub.status.busy":"2023-02-14T22:32:15.287603Z","iopub.status.idle":"2023-02-14T22:32:15.293497Z","shell.execute_reply":"2023-02-14T22:32:15.292639Z"},"papermill":{"duration":0.035332,"end_time":"2023-02-14T22:32:15.295396","exception":false,"start_time":"2023-02-14T22:32:15.260064","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(None, 256, 256, 3)"]},"execution_count":64,"metadata":{},"output_type":"execute_result"}],"source":["model.input_shape"]},{"cell_type":"code","execution_count":65,"id":"2d24e0db","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.34955Z","iopub.status.busy":"2023-02-14T22:32:15.34869Z","iopub.status.idle":"2023-02-14T22:32:15.352883Z","shell.execute_reply":"2023-02-14T22:32:15.352075Z"},"papermill":{"duration":0.033534,"end_time":"2023-02-14T22:32:15.354927","exception":false,"start_time":"2023-02-14T22:32:15.321393","status":"completed"},"tags":[]},"outputs":[],"source":["#data_generator = load_data(nn_data_df, img_size, batch_size)\n","#batch = next(data_generator())\n","#print(batch[0])\n"]},{"cell_type":"code","execution_count":66,"id":"339e84ca","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.409034Z","iopub.status.busy":"2023-02-14T22:32:15.408774Z","iopub.status.idle":"2023-02-14T22:32:15.416527Z","shell.execute_reply":"2023-02-14T22:32:15.415693Z"},"papermill":{"duration":0.037351,"end_time":"2023-02-14T22:32:15.418378","exception":false,"start_time":"2023-02-14T22:32:15.381027","status":"completed"},"tags":[]},"outputs":[],"source":["from tensorflow.keras.preprocessing.image import load_img, img_to_array\n","from tensorflow.keras.applications.resnet50 import preprocess_input\n","\n","\n","def data_generator(df, img_size, batch_size):\n","    while True:\n","        # Get a random batch of filenames and output data\n","        batch_df = df.sample(n=batch_size)\n","        filenames = batch_df['FirstImage'].values\n","        outputs = batch_df['AVG power'].values\n","        \n","        # Load and preprocess the images\n","        images = []\n","        for filename in filenames:\n","            img = load_img(filename, target_size=img_size)\n","            img = img_to_array(img)\n","            img = preprocess_input(img)\n","            images.append(img)\n","        images = np.array(images)\n","        \n","        # Return a tuple of image and output data\n","        yield images, outputs\n"]},{"cell_type":"code","execution_count":67,"id":"ce35319b","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.471582Z","iopub.status.busy":"2023-02-14T22:32:15.471284Z","iopub.status.idle":"2023-02-14T22:32:15.483614Z","shell.execute_reply":"2023-02-14T22:32:15.482601Z"},"papermill":{"duration":0.041155,"end_time":"2023-02-14T22:32:15.485431","exception":false,"start_time":"2023-02-14T22:32:15.444276","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>FirstImage</th>\n","      <th>AVG power</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1350.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1315.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1340.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1365.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>1395.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1498</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>486.5</td>\n","    </tr>\n","    <tr>\n","      <th>1499</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>471.5</td>\n","    </tr>\n","    <tr>\n","      <th>1500</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>474.5</td>\n","    </tr>\n","    <tr>\n","      <th>1501</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>476.0</td>\n","    </tr>\n","    <tr>\n","      <th>1502</th>\n","      <td>/kaggle/input/solar-energy-forecasting-using-l...</td>\n","      <td>478.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1503 rows × 2 columns</p>\n","</div>"],"text/plain":["                                             FirstImage  AVG power\n","0     /kaggle/input/solar-energy-forecasting-using-l...     1350.0\n","1     /kaggle/input/solar-energy-forecasting-using-l...     1315.0\n","2     /kaggle/input/solar-energy-forecasting-using-l...     1340.0\n","3     /kaggle/input/solar-energy-forecasting-using-l...     1365.0\n","4     /kaggle/input/solar-energy-forecasting-using-l...     1395.0\n","...                                                 ...        ...\n","1498  /kaggle/input/solar-energy-forecasting-using-l...      486.5\n","1499  /kaggle/input/solar-energy-forecasting-using-l...      471.5\n","1500  /kaggle/input/solar-energy-forecasting-using-l...      474.5\n","1501  /kaggle/input/solar-energy-forecasting-using-l...      476.0\n","1502  /kaggle/input/solar-energy-forecasting-using-l...      478.0\n","\n","[1503 rows x 2 columns]"]},"execution_count":67,"metadata":{},"output_type":"execute_result"}],"source":["nn_data_df"]},{"cell_type":"code","execution_count":68,"id":"c8b6c826","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:15.540793Z","iopub.status.busy":"2023-02-14T22:32:15.539948Z","iopub.status.idle":"2023-02-14T22:32:16.16201Z","shell.execute_reply":"2023-02-14T22:32:16.160979Z"},"papermill":{"duration":0.652525,"end_time":"2023-02-14T22:32:16.164817","exception":false,"start_time":"2023-02-14T22:32:15.512292","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.model_selection import train_test_split\n","train_df, test_df = train_test_split(nn_data_df, test_size=0.2)\n","train_df, val_df = train_test_split(train_df, test_size=0.2)"]},{"cell_type":"code","execution_count":69,"id":"645c567d","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:16.220063Z","iopub.status.busy":"2023-02-14T22:32:16.219767Z","iopub.status.idle":"2023-02-14T22:32:16.22484Z","shell.execute_reply":"2023-02-14T22:32:16.223807Z"},"papermill":{"duration":0.035048,"end_time":"2023-02-14T22:32:16.227112","exception":false,"start_time":"2023-02-14T22:32:16.192064","status":"completed"},"tags":[]},"outputs":[],"source":["img_size = (256, 256)\n","batch_size = 32\n","# Define the data generators for training, validation, and testing\n","train_generator = data_generator(train_df, img_size, batch_size)\n","val_generator = data_generator(val_df, img_size, batch_size)\n","test_generator = data_generator(test_df, img_size, batch_size)"]},{"cell_type":"code","execution_count":70,"id":"37d83203","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:16.281194Z","iopub.status.busy":"2023-02-14T22:32:16.280892Z","iopub.status.idle":"2023-02-14T22:32:16.285571Z","shell.execute_reply":"2023-02-14T22:32:16.284725Z"},"papermill":{"duration":0.034173,"end_time":"2023-02-14T22:32:16.287644","exception":false,"start_time":"2023-02-14T22:32:16.253471","status":"completed"},"tags":[]},"outputs":[],"source":["#!pip install --upgrade pip\n"]},{"cell_type":"code","execution_count":71,"id":"e968cb52","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:16.342271Z","iopub.status.busy":"2023-02-14T22:32:16.341998Z","iopub.status.idle":"2023-02-14T22:32:40.967476Z","shell.execute_reply":"2023-02-14T22:32:40.966233Z"},"papermill":{"duration":24.655532,"end_time":"2023-02-14T22:32:40.970107","exception":false,"start_time":"2023-02-14T22:32:16.314575","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: tensorflow in /opt/conda/lib/python3.7/site-packages (2.6.4)\r\n","Requirement already satisfied: astunparse~=1.6.3 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (1.6.3)\r\n","Requirement already satisfied: wrapt~=1.12.1 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (1.12.1)\r\n","Requirement already satisfied: protobuf>=3.9.2 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (3.19.4)\r\n","Requirement already satisfied: absl-py~=0.10 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (0.15.0)\r\n","Requirement already satisfied: keras<2.7,>=2.6.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (2.6.0)\r\n","Requirement already satisfied: opt-einsum~=3.3.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (3.3.0)\r\n","Requirement already satisfied: google-pasta~=0.2 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (0.2.0)\r\n","Requirement already satisfied: flatbuffers~=1.12.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (1.12)\r\n","Requirement already satisfied: tensorboard<2.7,>=2.6.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (2.6.0)\r\n","Requirement already satisfied: termcolor~=1.1.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow) (1.1.0)\r\n","Collecting h5py~=3.1.0\r\n","  Downloading h5py-3.1.0-cp37-cp37m-manylinux1_x86_64.whl (4.0 MB)\r\n","\u001b[2K     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urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (1.26.14)\r\n","Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (2.1.0)\r\n","Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (3.3)\r\n","Requirement already satisfied: MarkupSafe>=2.1.1 in /opt/conda/lib/python3.7/site-packages (from werkzeug>=0.11.15->tensorboard<2.7,>=2.6.0->tensorflow) (2.1.2)\r\n","Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<2.7,>=2.6.0->tensorflow) (3.8.0)\r\n","Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/conda/lib/python3.7/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard<2.7,>=2.6.0->tensorflow) (0.4.8)\r\n","Requirement already satisfied: oauthlib>=3.0.0 in /opt/conda/lib/python3.7/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.7,>=2.6.0->tensorflow) (3.2.0)\r\n","Installing collected packages: typing-extensions, numpy, h5py\r\n","  Attempting uninstall: typing-extensions\r\n","    Found existing installation: typing_extensions 4.1.1\r\n","    Uninstalling typing_extensions-4.1.1:\r\n","      Successfully uninstalled typing_extensions-4.1.1\r\n","  Attempting uninstall: numpy\r\n","    Found existing installation: numpy 1.21.6\r\n","    Uninstalling numpy-1.21.6:\r\n","      Successfully uninstalled numpy-1.21.6\r\n","  Attempting uninstall: h5py\r\n","    Found existing installation: h5py 3.8.0\r\n","    Uninstalling h5py-3.8.0:\r\n","      Successfully uninstalled h5py-3.8.0\r\n","\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n","tensorflow-io 0.21.0 requires tensorflow-io-gcs-filesystem==0.21.0, which is not installed.\r\n","dask-cudf 21.10.1 requires cupy-cuda114, which is not installed.\r\n","beatrix-jupyterlab 3.1.7 requires google-cloud-bigquery-storage, which is not installed.\r\n","xarray-einstats 0.2.2 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible.\r\n","tfx-bsl 1.9.0 requires google-api-python-client<2,>=1.7.11, but you have google-api-python-client 2.52.0 which is incompatible.\r\n","tfx-bsl 1.9.0 requires tensorflow!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,<3,>=1.15.5, but you have tensorflow 2.6.4 which is incompatible.\r\n","tensorflow-transform 1.9.0 requires tensorflow!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,<2.10,>=1.15.5, but you have tensorflow 2.6.4 which is incompatible.\r\n","tensorflow-serving-api 2.9.0 requires tensorflow<3,>=2.9.0, but you have tensorflow 2.6.4 which is incompatible.\r\n","rich 12.6.0 requires typing-extensions<5.0,>=4.0.0; python_version < \"3.9\", but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","pytorch-lightning 1.9.0 requires typing-extensions>=4.0.0, but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","pytools 2022.1.12 requires typing-extensions>=4.0; python_version < \"3.11\", but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","pytoolconfig 1.2.5 requires typing-extensions>=4.4.0; python_version < \"3.8\", but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","pandas-profiling 3.1.0 requires markupsafe~=2.0.1, but you have markupsafe 2.1.2 which is incompatible.\r\n","ortools 9.5.2237 requires protobuf>=4.21.5, but you have protobuf 3.19.4 which is incompatible.\r\n","nnabla 1.33.0 requires numpy~=1.21.0, but you have numpy 1.19.5 which is incompatible.\r\n","jaxlib 0.3.25+cuda11.cudnn805 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible.\r\n","jax 0.3.25 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible.\r\n","imbalanced-learn 0.10.1 requires joblib>=1.1.1, but you have joblib 1.0.1 which is incompatible.\r\n","ibis-framework 2.1.1 requires importlib-metadata<5,>=4; python_version < \"3.8\", but you have importlib-metadata 6.0.0 which is incompatible.\r\n","flax 0.6.4 requires typing-extensions>=4.1.1, but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","flake8 5.0.4 requires importlib-metadata<4.3,>=1.1.0; python_version < \"3.8\", but you have importlib-metadata 6.0.0 which is incompatible.\r\n","featuretools 1.11.1 requires numpy>=1.21.0, but you have numpy 1.19.5 which is incompatible.\r\n","dask-cudf 21.10.1 requires dask==2021.09.1, but you have dask 2022.2.0 which is incompatible.\r\n","dask-cudf 21.10.1 requires distributed==2021.09.1, but you have distributed 2022.2.0 which is incompatible.\r\n","cupy-cuda110 11.5.0 requires numpy<1.26,>=1.20, but you have numpy 1.19.5 which is incompatible.\r\n","cmudict 1.0.13 requires importlib-metadata<6.0.0,>=5.1.0, but you have importlib-metadata 6.0.0 which is incompatible.\r\n","cmdstanpy 1.1.0 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible.\r\n","astroid 2.13.4 requires typing-extensions>=4.0.0; python_version < \"3.11\", but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","apache-beam 2.40.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.6 which is incompatible.\r\n","allennlp 2.10.1 requires h5py>=3.6.0, but you have h5py 3.1.0 which is incompatible.\r\n","allennlp 2.10.1 requires numpy>=1.21.4, but you have numpy 1.19.5 which is incompatible.\r\n","aioitertools 0.11.0 requires typing_extensions>=4.0; python_version < \"3.10\", but you have typing-extensions 3.10.0.2 which is incompatible.\r\n","aiobotocore 2.4.2 requires botocore<1.27.60,>=1.27.59, but you have botocore 1.29.60 which is incompatible.\u001b[0m\u001b[31m\r\n","\u001b[0mSuccessfully installed h5py-3.1.0 numpy-1.19.5 typing-extensions-3.10.0.2\r\n","\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\r\n","\u001b[0m"]}],"source":["!pip install tensorflow\n"]},{"cell_type":"code","execution_count":72,"id":"90d564b2","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:41.038291Z","iopub.status.busy":"2023-02-14T22:32:41.037287Z","iopub.status.idle":"2023-02-14T22:32:42.645962Z","shell.execute_reply":"2023-02-14T22:32:42.644894Z"},"papermill":{"duration":1.644398,"end_time":"2023-02-14T22:32:42.648972","exception":false,"start_time":"2023-02-14T22:32:41.004574","status":"completed"},"tags":[]},"outputs":[],"source":["# Define the input shape\n","input_shape = (256, 256, 3)\n","\n","# Define the number of output units (1 for linear output)\n","num_outputs = 1\n","\n","# Load the ResNet50 model with pre-trained weights\n","base_model = ResNet50(weights='imagenet', include_top=False, input_shape=input_shape)\n","\n","# Add a custom top layer for the linear output\n","x = base_model.output\n","x = Flatten()(x)\n","x = Dense(256, activation='relu')(x)\n","x = Dropout(0.5)(x)\n","output = Dense(num_outputs, activation='linear')(x)\n","\n","# Define the model with the base ResNet50 and the custom top layer\n","model = Model(inputs=base_model.input, outputs=output)\n","\n","# Freeze the weights of the base ResNet50 layer\n","for layer in base_model.layers:\n","    layer.trainable = False\n","    \n","# Compile the model with a mean squared error loss function\n","model.compile(optimizer='adam', loss='mse', metrics='accuracy')\n"]},{"cell_type":"code","execution_count":73,"id":"22b5b030","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:32:42.713099Z","iopub.status.busy":"2023-02-14T22:32:42.712799Z","iopub.status.idle":"2023-02-14T22:54:39.077022Z","shell.execute_reply":"2023-02-14T22:54:39.076012Z"},"papermill":{"duration":1316.398338,"end_time":"2023-02-14T22:54:39.079223","exception":false,"start_time":"2023-02-14T22:32:42.680885","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["2023-02-14 22:32:43.923647: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)\n"]},{"name":"stdout","output_type":"stream","text":["Epoch 1/50\n"]},{"name":"stderr","output_type":"stream","text":["2023-02-14 22:32:48.403403: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8005\n"]},{"name":"stdout","output_type":"stream","text":["30/30 [==============================] - 44s 1s/step - loss: 3074356.0000 - accuracy: 0.0000e+00 - val_loss: 528883.5625 - val_accuracy: 0.0000e+00\n","Epoch 2/50\n","30/30 [==============================] - 30s 1s/step - loss: 396598.2812 - accuracy: 0.0000e+00 - val_loss: 180434.5156 - val_accuracy: 0.0000e+00\n","Epoch 3/50\n","30/30 [==============================] - 27s 919ms/step - loss: 272474.4062 - accuracy: 0.0000e+00 - val_loss: 222797.0938 - val_accuracy: 0.0000e+00\n","Epoch 4/50\n","30/30 [==============================] - 25s 872ms/step - loss: 274300.0312 - accuracy: 0.0000e+00 - val_loss: 128567.3984 - val_accuracy: 0.0000e+00\n","Epoch 5/50\n","30/30 [==============================] - 26s 885ms/step - loss: 236268.6406 - accuracy: 0.0000e+00 - val_loss: 119557.3828 - val_accuracy: 0.0000e+00\n","Epoch 6/50\n","30/30 [==============================] - 26s 895ms/step - loss: 257329.7344 - accuracy: 0.0000e+00 - val_loss: 145720.3906 - val_accuracy: 0.0000e+00\n","Epoch 7/50\n","30/30 [==============================] - 25s 875ms/step - loss: 230743.3281 - accuracy: 0.0000e+00 - val_loss: 114160.7656 - val_accuracy: 0.0000e+00\n","Epoch 8/50\n","30/30 [==============================] - 25s 876ms/step - loss: 222367.4219 - accuracy: 0.0000e+00 - val_loss: 148096.5938 - val_accuracy: 0.0000e+00\n","Epoch 9/50\n","30/30 [==============================] - 26s 880ms/step - loss: 205750.2812 - accuracy: 0.0000e+00 - val_loss: 98962.2031 - val_accuracy: 0.0000e+00\n","Epoch 10/50\n","30/30 [==============================] - 25s 864ms/step - loss: 174406.7344 - accuracy: 0.0000e+00 - val_loss: 113537.7500 - val_accuracy: 0.0000e+00\n","Epoch 11/50\n","30/30 [==============================] - 25s 875ms/step - loss: 196369.9844 - accuracy: 0.0000e+00 - val_loss: 68191.9766 - val_accuracy: 0.0000e+00\n","Epoch 12/50\n","30/30 [==============================] - 26s 877ms/step - loss: 205172.3906 - accuracy: 0.0000e+00 - val_loss: 111628.9609 - val_accuracy: 0.0000e+00\n","Epoch 13/50\n","30/30 [==============================] - 26s 886ms/step - loss: 213001.2500 - accuracy: 0.0000e+00 - val_loss: 72511.8984 - val_accuracy: 0.0000e+00\n","Epoch 14/50\n","30/30 [==============================] - 25s 872ms/step - loss: 208550.7969 - accuracy: 0.0000e+00 - val_loss: 97474.4844 - val_accuracy: 0.0000e+00\n","Epoch 15/50\n","30/30 [==============================] - 25s 863ms/step - loss: 191514.8438 - accuracy: 0.0000e+00 - val_loss: 132761.0469 - val_accuracy: 0.0000e+00\n","Epoch 16/50\n","30/30 [==============================] - 26s 883ms/step - loss: 179539.8125 - accuracy: 0.0000e+00 - val_loss: 112501.7891 - val_accuracy: 0.0000e+00\n","Epoch 17/50\n","30/30 [==============================] - 25s 875ms/step - loss: 190843.8906 - accuracy: 0.0000e+00 - val_loss: 97338.5625 - val_accuracy: 0.0000e+00\n","Epoch 18/50\n","30/30 [==============================] - 26s 881ms/step - loss: 184973.1094 - accuracy: 0.0000e+00 - val_loss: 147895.6875 - val_accuracy: 0.0000e+00\n","Epoch 19/50\n","30/30 [==============================] - 26s 880ms/step - loss: 181510.2031 - accuracy: 0.0000e+00 - val_loss: 101206.8203 - val_accuracy: 0.0000e+00\n","Epoch 20/50\n","30/30 [==============================] - 25s 864ms/step - loss: 174072.8906 - accuracy: 0.0000e+00 - val_loss: 59841.1445 - val_accuracy: 0.0000e+00\n","Epoch 21/50\n","30/30 [==============================] - 25s 875ms/step - loss: 174985.0000 - accuracy: 0.0000e+00 - val_loss: 93762.6797 - val_accuracy: 0.0000e+00\n","Epoch 22/50\n","30/30 [==============================] - 26s 891ms/step - loss: 176773.7969 - accuracy: 0.0000e+00 - val_loss: 79151.3906 - val_accuracy: 0.0000e+00\n","Epoch 23/50\n","30/30 [==============================] - 25s 874ms/step - loss: 169777.3125 - accuracy: 0.0000e+00 - val_loss: 123225.2031 - val_accuracy: 0.0000e+00\n","Epoch 24/50\n","30/30 [==============================] - 25s 861ms/step - loss: 165690.2344 - accuracy: 0.0000e+00 - val_loss: 120734.5234 - val_accuracy: 0.0000e+00\n","Epoch 25/50\n","30/30 [==============================] - 25s 875ms/step - loss: 171950.1406 - accuracy: 0.0000e+00 - val_loss: 118939.6719 - val_accuracy: 0.0000e+00\n","Epoch 26/50\n","30/30 [==============================] - 26s 884ms/step - loss: 161961.7188 - accuracy: 0.0000e+00 - val_loss: 59864.9961 - val_accuracy: 0.0000e+00\n","Epoch 27/50\n","30/30 [==============================] - 26s 892ms/step - loss: 153574.1094 - accuracy: 0.0000e+00 - val_loss: 132736.1250 - val_accuracy: 0.0000e+00\n","Epoch 28/50\n","30/30 [==============================] - 26s 886ms/step - loss: 157612.6406 - accuracy: 0.0000e+00 - val_loss: 78080.5156 - val_accuracy: 0.0000e+00\n","Epoch 29/50\n","30/30 [==============================] - 25s 873ms/step - loss: 166909.2344 - accuracy: 0.0000e+00 - val_loss: 86575.7891 - val_accuracy: 0.0000e+00\n","Epoch 30/50\n","30/30 [==============================] - 25s 858ms/step - loss: 159054.9531 - accuracy: 0.0000e+00 - val_loss: 129530.6797 - val_accuracy: 0.0000e+00\n","Epoch 31/50\n","30/30 [==============================] - 26s 879ms/step - loss: 160457.1719 - accuracy: 0.0000e+00 - val_loss: 108070.2656 - val_accuracy: 0.0000e+00\n","Epoch 32/50\n","30/30 [==============================] - 26s 881ms/step - loss: 164948.1562 - accuracy: 0.0000e+00 - val_loss: 74834.3047 - val_accuracy: 0.0000e+00\n","Epoch 33/50\n","30/30 [==============================] - 26s 881ms/step - loss: 159868.0781 - accuracy: 0.0000e+00 - val_loss: 100322.8359 - val_accuracy: 0.0000e+00\n","Epoch 34/50\n","30/30 [==============================] - 26s 880ms/step - loss: 160965.9375 - accuracy: 0.0000e+00 - val_loss: 119951.1719 - val_accuracy: 0.0000e+00\n","Epoch 35/50\n","30/30 [==============================] - 26s 887ms/step - loss: 176265.2656 - accuracy: 0.0000e+00 - val_loss: 85563.7969 - val_accuracy: 0.0000e+00\n","Epoch 36/50\n","30/30 [==============================] - 25s 870ms/step - loss: 160996.7188 - accuracy: 0.0000e+00 - val_loss: 87531.9141 - val_accuracy: 0.0000e+00\n","Epoch 37/50\n","30/30 [==============================] - 26s 887ms/step - loss: 165611.6562 - accuracy: 0.0000e+00 - val_loss: 118489.9453 - val_accuracy: 0.0000e+00\n","Epoch 38/50\n","30/30 [==============================] - 26s 896ms/step - loss: 160036.7656 - accuracy: 0.0000e+00 - val_loss: 156087.9688 - val_accuracy: 0.0000e+00\n","Epoch 39/50\n","30/30 [==============================] - 25s 876ms/step - loss: 158927.9219 - accuracy: 0.0000e+00 - val_loss: 89809.5078 - val_accuracy: 0.0000e+00\n","Epoch 40/50\n","30/30 [==============================] - 25s 867ms/step - loss: 152513.7188 - accuracy: 0.0000e+00 - val_loss: 83541.5859 - val_accuracy: 0.0000e+00\n","Epoch 41/50\n","30/30 [==============================] - 26s 879ms/step - loss: 158744.5312 - accuracy: 0.0000e+00 - val_loss: 108070.2969 - val_accuracy: 0.0000e+00\n","Epoch 42/50\n","30/30 [==============================] - 26s 884ms/step - loss: 166939.5156 - accuracy: 0.0000e+00 - val_loss: 61911.3633 - val_accuracy: 0.0000e+00\n","Epoch 43/50\n","30/30 [==============================] - 26s 882ms/step - loss: 158273.1875 - accuracy: 0.0000e+00 - val_loss: 163868.4219 - val_accuracy: 0.0000e+00\n","Epoch 44/50\n","30/30 [==============================] - 26s 909ms/step - loss: 167909.1875 - accuracy: 0.0000e+00 - val_loss: 126924.4141 - val_accuracy: 0.0000e+00\n","Epoch 45/50\n","30/30 [==============================] - 26s 890ms/step - loss: 162546.1094 - accuracy: 0.0000e+00 - val_loss: 111006.2109 - val_accuracy: 0.0000e+00\n","Epoch 46/50\n","30/30 [==============================] - 26s 890ms/step - loss: 154460.3906 - accuracy: 0.0000e+00 - val_loss: 60331.5977 - val_accuracy: 0.0000e+00\n","Epoch 47/50\n","30/30 [==============================] - 26s 900ms/step - loss: 162885.7656 - accuracy: 0.0000e+00 - val_loss: 110289.9141 - val_accuracy: 0.0000e+00\n","Epoch 48/50\n","30/30 [==============================] - 26s 895ms/step - loss: 165633.3438 - accuracy: 0.0000e+00 - val_loss: 121062.0391 - val_accuracy: 0.0000e+00\n","Epoch 49/50\n","30/30 [==============================] - 26s 903ms/step - loss: 163243.5312 - accuracy: 0.0000e+00 - val_loss: 186358.9844 - val_accuracy: 0.0000e+00\n","Epoch 50/50\n","30/30 [==============================] - 26s 898ms/step - loss: 173735.7344 - accuracy: 0.0000e+00 - val_loss: 87566.6406 - val_accuracy: 0.0000e+00\n","9/9 [==============================] - 8s 936ms/step - loss: 155662.9375 - accuracy: 0.0000e+00\n","Test loss: [155662.9375, 0.0]\n"]}],"source":["# Train the model on the training data, and validate on the validation data\n","epochs = 50\n","steps_per_epoch = len(train_df) // batch_size\n","validation_steps = len(val_df) // batch_size\n","\n","history = model.fit(train_generator, \n","                    epochs=epochs, \n","                    steps_per_epoch=steps_per_epoch, \n","                    validation_data=val_generator, \n","                    validation_steps=validation_steps)\n","\n","# Evaluate the model on the test data\n","test_steps = len(test_df) // batch_size\n","test_loss = model.evaluate(test_generator, steps=test_steps)\n","print(f'Test loss: {test_loss}')"]},{"cell_type":"code","execution_count":74,"id":"fcb8222e","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:54:39.302714Z","iopub.status.busy":"2023-02-14T22:54:39.301701Z","iopub.status.idle":"2023-02-14T22:54:39.307401Z","shell.execute_reply":"2023-02-14T22:54:39.30647Z"},"papermill":{"duration":0.118766,"end_time":"2023-02-14T22:54:39.30994","exception":false,"start_time":"2023-02-14T22:54:39.191174","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n"]}],"source":["# list all data in history\n","print(history.history.keys())\n"]},{"cell_type":"code","execution_count":75,"id":"f6255599","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:54:39.530621Z","iopub.status.busy":"2023-02-14T22:54:39.529131Z","iopub.status.idle":"2023-02-14T22:54:39.738103Z","shell.execute_reply":"2023-02-14T22:54:39.736657Z"},"papermill":{"duration":0.321612,"end_time":"2023-02-14T22:54:39.740535","exception":false,"start_time":"2023-02-14T22:54:39.418923","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n"]},{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# list all data in history\n","print(history.history.keys())\n","\n","# summarize history for loss\n","plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.title('model loss')\n","plt.ylabel('loss')\n","plt.xlabel('epoch')\n","plt.legend(['train', 'test'], loc='upper left')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"id":"6a930f85","metadata":{"papermill":{"duration":0.111377,"end_time":"2023-02-14T22:54:39.960995","exception":false,"start_time":"2023-02-14T22:54:39.849618","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"code","execution_count":76,"id":"1becb347","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:54:40.225858Z","iopub.status.busy":"2023-02-14T22:54:40.225499Z","iopub.status.idle":"2023-02-14T22:54:40.609196Z","shell.execute_reply":"2023-02-14T22:54:40.608237Z"},"papermill":{"duration":0.495282,"end_time":"2023-02-14T22:54:40.611241","exception":false,"start_time":"2023-02-14T22:54:40.115959","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n"]},{"data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# list all data in history\n","print(history.history.keys())\n","# summarize history for accuracy\n","plt.plot(history.history['accuracy'])\n","plt.plot(history.history['val_accuracy'])\n","plt.title('model accuracy')\n","plt.ylabel('accuracy')\n","plt.xlabel('epoch')\n","plt.legend(['train', 'test'], loc='upper left')\n","plt.show()\n","# summarize history for loss\n","plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.title('model loss')\n","plt.ylabel('loss')\n","plt.xlabel('epoch')\n","plt.legend(['train', 'test'], loc='upper left')\n","plt.show()"]},{"cell_type":"code","execution_count":77,"id":"7855c4b6","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:54:40.834821Z","iopub.status.busy":"2023-02-14T22:54:40.83385Z","iopub.status.idle":"2023-02-14T22:54:40.839155Z","shell.execute_reply":"2023-02-14T22:54:40.838269Z"},"papermill":{"duration":0.120362,"end_time":"2023-02-14T22:54:40.841197","exception":false,"start_time":"2023-02-14T22:54:40.720835","status":"completed"},"tags":[]},"outputs":[],"source":["import matplotlib.pyplot as plt\n","\n","# Predict the test output using the trained model\n","#test_output_predicted = model.predict(test_generator)"]},{"cell_type":"code","execution_count":78,"id":"d3b3a8c3","metadata":{"execution":{"iopub.execute_input":"2023-02-14T22:54:41.068608Z","iopub.status.busy":"2023-02-14T22:54:41.068216Z","iopub.status.idle":"2023-02-14T22:54:41.072879Z","shell.execute_reply":"2023-02-14T22:54:41.071901Z"},"papermill":{"duration":0.121806,"end_time":"2023-02-14T22:54:41.074795","exception":false,"start_time":"2023-02-14T22:54:40.952989","status":"completed"},"tags":[]},"outputs":[],"source":["# Get the actual test output values\n","#test_output_actual = test_df['AVG power'].values\n","\n","# Plot the actual and predicted values\n","#plt.plot(test_output_actual, label='Actual')\n","#plt.plot(test_output_predicted, label='Predicted')\n","#plt.xlabel('Sample')\n","#plt.ylabel('Value')\n","#plt.legend()\n","#plt.show()"]},{"cell_type":"code","execution_count":null,"id":"1848a6e9","metadata":{"papermill":{"duration":0.108489,"end_time":"2023-02-14T22:54:41.291672","exception":false,"start_time":"2023-02-14T22:54:41.183183","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"id":"08d883ee","metadata":{"papermill":{"duration":0.107914,"end_time":"2023-02-14T22:54:41.507148","exception":false,"start_time":"2023-02-14T22:54:41.399234","status":"completed"},"tags":[]},"outputs":[],"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.12"},"papermill":{"default_parameters":{},"duration":1384.185303,"end_time":"2023-02-14T22:54:44.897362","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-02-14T22:31:40.712059","version":"2.3.4"}},"nbformat":4,"nbformat_minor":5}