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feat!: Added support for Blockchain-based federated training using Et…
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,134 +1,138 @@ | ||
| from django.db import models | ||
| from django.utils.timezone import now | ||
| from django.conf import settings | ||
| from model_utils import Choices | ||
| from model_utils.fields import StatusField, MonitorField | ||
|
|
||
| class MLModel(models.Model): | ||
| """Machine learning model to be trained in the system""" | ||
|
|
||
| name = models.CharField(unique=True, max_length=30) | ||
| description = models.CharField(max_length=100, blank=True) | ||
| imports = models.TextField(blank=True) | ||
| code = models.TextField() | ||
| distributed = models.BooleanField(default=False) | ||
| father = models.OneToOneField('self', null=True, blank=True, default=None, related_name='child', on_delete=models.SET_NULL) | ||
| framework = models.TextField() | ||
|
|
||
| class Configuration(models.Model): | ||
| """Set of ML models to be used for training""" | ||
|
|
||
| name = models.CharField(unique=True, max_length=30) | ||
| description = models.CharField(max_length=100, blank=True) | ||
| ml_models = models.ManyToManyField(MLModel) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class Deployment(models.Model): | ||
| """Deployment of a configuration of models for training""" | ||
|
|
||
| # General Deployment Settings | ||
| batch = models.IntegerField(default=1) | ||
| tf_kwargs_fit = models.CharField(max_length=100, blank=True) | ||
| tf_kwargs_val = models.CharField(max_length=100, blank=True) | ||
| pth_kwargs_fit = models.CharField(max_length=100, blank=True) | ||
| pth_kwargs_val = models.CharField(max_length=100, blank=True) | ||
| conf_mat_settings = models.BooleanField(default=False, blank=True, null=True) | ||
| configuration = models.ForeignKey(Configuration, related_name='deployments', on_delete=models.CASCADE) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
|
|
||
| # Distributed Deployment Settings | ||
| optimizer = models.TextField(default='adam', blank=True) | ||
| learning_rate = models.DecimalField(max_digits=7, decimal_places=6, default=0.001, blank=True) | ||
| loss = models.TextField(default='sparse_categorical_crossentropy', blank=True) | ||
| metrics = models.TextField(default='sparse_categorical_accuracy', blank=True) | ||
|
|
||
| # Incremental Deployment Settings | ||
| incremental = models.BooleanField(default=False) | ||
| indefinite = models.BooleanField(default=False) | ||
| stream_timeout = models.IntegerField(default=60000, blank=True, null=True) | ||
| monitoring_metric = models.TextField(blank=True, null=True) | ||
| change = models.TextField(blank=True, null=True) | ||
| improvement = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True, default=0.05) | ||
|
|
||
| # Unsupervised Deployment Settings | ||
| unsupervised = models.BooleanField(default=False) | ||
| unsupervised_rounds = models.IntegerField(default=5, blank=True, null=True) | ||
| confidence = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True, default=0.9) | ||
|
|
||
| # Federated Deployment Settings | ||
| federated = models.BooleanField(default=False) | ||
| agg_rounds = models.IntegerField(default=15, blank=True, null=True) | ||
| min_data = models.IntegerField(default=1000, blank=True, null=True) | ||
| AGGREGATION_STRATEGIES = Choices('FedAvg', 'FedOpt', 'FedAdagrad', 'FedAdam', 'FedYogi') | ||
| agg_strategy = StatusField(choices_name='AGGREGATION_STRATEGIES') | ||
| data_restriction = models.JSONField(default=dict, blank=True, null=True) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class TrainingResult(models.Model): | ||
| """Training result information obtained once deployed a model""" | ||
|
|
||
| STATUS = Choices('created', 'deployed', 'stopped', 'finished') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
| status = StatusField() | ||
| status_changed = MonitorField(monitor='status') | ||
| deployment = models.ForeignKey(Deployment, default=None, related_name='results', on_delete=models.CASCADE) | ||
| model = models.ForeignKey(MLModel, related_name='trained', on_delete=models.CASCADE) | ||
| train_metrics = models.JSONField(blank=True, null=True) | ||
| val_metrics = models.JSONField(blank=True, null=True) | ||
| test_metrics = models.JSONField(blank=True, null=True) | ||
| confusion_matrix = models.JSONField(blank=True, null=True, default=None) | ||
| training_time = models.DecimalField(max_digits=14, decimal_places=4, blank=True, null=True) | ||
| trained_model = models.FileField(upload_to=settings.TRAINED_MODELS_DIR, blank=True) | ||
| confusion_mat_img = models.FileField(upload_to=settings.TRAINED_MODELS_DIR, blank=True, null=True) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-status_changed', ) | ||
|
|
||
| class Datasource(models.Model): | ||
| """Datasource used for training a deployed model""" | ||
|
|
||
| INPUT_FORMAT = Choices('RAW', 'AVRO', 'JSON', 'TELEGRAF_STR_JSON') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
| input_format = StatusField(choices_name='INPUT_FORMAT') | ||
| deployment = models.TextField() | ||
| input_config = models.TextField(blank=True) | ||
| description = models.TextField(blank=True) | ||
| topic = models.TextField() | ||
| total_msg = models.IntegerField(blank=True, null=True) | ||
| validation_rate = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True) | ||
| test_rate = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True) | ||
| time = models.DateTimeField() | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class Inference(models.Model): | ||
| """Training result information obtained once deployed a model""" | ||
| INPUT_FORMAT = Choices('RAW', 'AVRO', 'JSON', 'TELEGRAF_STR_JSON') | ||
| STATUS = Choices('deployed', 'stopped') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
|
|
||
| status = StatusField() | ||
| status_changed = MonitorField(monitor='status') | ||
| model_result = models.ForeignKey(TrainingResult, null=True, related_name='inferences', on_delete=models.SET_NULL) | ||
| replicas = models.IntegerField(default=1) | ||
| input_format = StatusField(choices_name='INPUT_FORMAT') | ||
| input_config = models.TextField(blank=True) | ||
| input_topic = models.TextField(blank=True) | ||
| output_topic = models.TextField(blank=True) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
| limit = models.DecimalField(max_digits=15, decimal_places=10, blank=True, null=True) | ||
| output_upper = models.TextField(blank=True) | ||
| token = models.TextField(blank=True, default=None, null=True) | ||
| external_host = models.TextField(blank=True, default=None, null=True) | ||
| input_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
| output_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
| upper_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
| from django.db import models | ||
| from django.utils.timezone import now | ||
| from django.conf import settings | ||
| from model_utils import Choices | ||
| from model_utils.fields import StatusField, MonitorField | ||
|
|
||
| class MLModel(models.Model): | ||
| """Machine learning model to be trained in the system""" | ||
|
|
||
| name = models.CharField(unique=True, max_length=30) | ||
| description = models.CharField(max_length=100, blank=True) | ||
| imports = models.TextField(blank=True) | ||
| code = models.TextField() | ||
| distributed = models.BooleanField(default=False) | ||
| father = models.OneToOneField('self', null=True, blank=True, default=None, related_name='child', on_delete=models.SET_NULL) | ||
| framework = models.TextField() | ||
|
|
||
| class Configuration(models.Model): | ||
| """Set of ML models to be used for training""" | ||
|
|
||
| name = models.CharField(unique=True, max_length=30) | ||
| description = models.CharField(max_length=100, blank=True) | ||
| ml_models = models.ManyToManyField(MLModel) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class Deployment(models.Model): | ||
| """Deployment of a configuration of models for training""" | ||
|
|
||
| # General Deployment Settings | ||
| batch = models.IntegerField(default=1) | ||
| tf_kwargs_fit = models.CharField(max_length=100, blank=True) | ||
| tf_kwargs_val = models.CharField(max_length=100, blank=True) | ||
| pth_kwargs_fit = models.CharField(max_length=100, blank=True) | ||
| pth_kwargs_val = models.CharField(max_length=100, blank=True) | ||
| conf_mat_settings = models.BooleanField(default=False, blank=True, null=True) | ||
| configuration = models.ForeignKey(Configuration, related_name='deployments', on_delete=models.CASCADE) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
|
|
||
| # Distributed Deployment Settings | ||
| optimizer = models.TextField(default='adam', blank=True) | ||
| learning_rate = models.DecimalField(max_digits=7, decimal_places=6, default=0.001, blank=True) | ||
| loss = models.TextField(default='sparse_categorical_crossentropy', blank=True) | ||
| metrics = models.TextField(default='sparse_categorical_accuracy', blank=True) | ||
|
|
||
| # Incremental Deployment Settings | ||
| incremental = models.BooleanField(default=False) | ||
| indefinite = models.BooleanField(default=False) | ||
| stream_timeout = models.IntegerField(default=60000, blank=True, null=True) | ||
| monitoring_metric = models.TextField(blank=True, null=True) | ||
| change = models.TextField(blank=True, null=True) | ||
| improvement = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True, default=0.05) | ||
|
|
||
| # Unsupervised Deployment Settings | ||
| unsupervised = models.BooleanField(default=False) | ||
| unsupervised_rounds = models.IntegerField(default=5, blank=True, null=True) | ||
| confidence = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True, default=0.9) | ||
|
|
||
| # Federated Deployment Settings | ||
| federated = models.BooleanField(default=False) | ||
| agg_rounds = models.IntegerField(default=15, blank=True, null=True) | ||
| min_data = models.IntegerField(default=1000, blank=True, null=True) | ||
| AGGREGATION_STRATEGIES = Choices('FedAvg', 'FedOpt', 'FedAdagrad', 'FedAdam', 'FedYogi') | ||
| agg_strategy = StatusField(choices_name='AGGREGATION_STRATEGIES') | ||
| data_restriction = models.JSONField(default=dict, blank=True, null=True) | ||
|
|
||
| # Federated Blockchain Deployment Settings | ||
| blockchain = models.BooleanField(default=False) | ||
|
|
||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class TrainingResult(models.Model): | ||
| """Training result information obtained once deployed a model""" | ||
|
|
||
| STATUS = Choices('created', 'deployed', 'stopped', 'finished') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
| status = StatusField() | ||
| status_changed = MonitorField(monitor='status') | ||
| deployment = models.ForeignKey(Deployment, default=None, related_name='results', on_delete=models.CASCADE) | ||
| model = models.ForeignKey(MLModel, related_name='trained', on_delete=models.CASCADE) | ||
| train_metrics = models.JSONField(blank=True, null=True) | ||
| val_metrics = models.JSONField(blank=True, null=True) | ||
| test_metrics = models.JSONField(blank=True, null=True) | ||
| confusion_matrix = models.JSONField(blank=True, null=True, default=None) | ||
| training_time = models.DecimalField(max_digits=14, decimal_places=4, blank=True, null=True) | ||
| trained_model = models.FileField(upload_to=settings.TRAINED_MODELS_DIR, blank=True) | ||
| confusion_mat_img = models.FileField(upload_to=settings.TRAINED_MODELS_DIR, blank=True, null=True) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-status_changed', ) | ||
|
|
||
| class Datasource(models.Model): | ||
| """Datasource used for training a deployed model""" | ||
|
|
||
| INPUT_FORMAT = Choices('RAW', 'AVRO', 'JSON', 'TELEGRAF_STR_JSON') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
| input_format = StatusField(choices_name='INPUT_FORMAT') | ||
| deployment = models.TextField() | ||
| input_config = models.TextField(blank=True) | ||
| description = models.TextField(blank=True) | ||
| topic = models.TextField() | ||
| total_msg = models.IntegerField(blank=True, null=True) | ||
| validation_rate = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True) | ||
| test_rate = models.DecimalField(max_digits=7, decimal_places=6, blank=True, null=True) | ||
| time = models.DateTimeField() | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) | ||
|
|
||
| class Inference(models.Model): | ||
| """Training result information obtained once deployed a model""" | ||
| INPUT_FORMAT = Choices('RAW', 'AVRO', 'JSON', 'TELEGRAF_STR_JSON') | ||
| STATUS = Choices('deployed', 'stopped') | ||
| """Sets its default value to the first item in the STATUS choices:""" | ||
|
|
||
| status = StatusField() | ||
| status_changed = MonitorField(monitor='status') | ||
| model_result = models.ForeignKey(TrainingResult, null=True, related_name='inferences', on_delete=models.SET_NULL) | ||
| replicas = models.IntegerField(default=1) | ||
| input_format = StatusField(choices_name='INPUT_FORMAT') | ||
| input_config = models.TextField(blank=True) | ||
| input_topic = models.TextField(blank=True) | ||
| output_topic = models.TextField(blank=True) | ||
| time = models.DateTimeField(default=now, editable=False) | ||
| limit = models.DecimalField(max_digits=15, decimal_places=10, blank=True, null=True) | ||
| output_upper = models.TextField(blank=True) | ||
| token = models.TextField(blank=True, default=None, null=True) | ||
| external_host = models.TextField(blank=True, default=None, null=True) | ||
| input_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
| output_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
| upper_kafka_broker = models.TextField(blank=True, default=None, null=True) | ||
|
|
||
| class Meta(object): | ||
| ordering = ('-time', ) |
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