Fix repo links

.github/CONTRIBUTING.md

@@ -22,15 +22,15 @@ The following is a set of guidelines for contributing to pmdarima. These are mos
 ## Resources
 
 [Official Documentation](https://www.alkaline-ml.com/pmdarima/)  
-[Issue Tracker](https://github.com/tgsmith61591/pmdarima/issues)
+[Issue Tracker](https://github.com/alkaline-ml/pmdarima/issues)
 
 ## How Can I Contribute?
 
 ### Filing Issues
 
 #### Filing A Bug
 
-Fill out the [required template](https://github.com/tgsmith61591/pmdarima/issues/new?assignees=&labels=%3Abeetle%3A+%3A+bug&template=BUG_REPORT.md&title=), the information it asks us for helps us resolve issues faster
+Fill out the [required template](https://github.com/alkaline-ml/pmdarima/issues/new?assignees=&labels=%3Abeetle%3A+%3A+bug&template=BUG_REPORT.md&title=), the information it asks us for helps us resolve issues faster
 
 > **Note:** If you find a **Closed** issue that seems like it is the same thing that you're experiencing, open a new issue and include a link to the original issue in the body of your new one.
 
@@ -46,7 +46,7 @@ Explain the problem and include additional details to help maintainers reproduce
 
 #### Filing A Feature Request
 
-Fill out the [required template](https://github.com/tgsmith61591/pmdarima/issues/new?assignees=&labels=&template=FEATURE_REQUEST.md&title=), the information it asks us for helps us resolve issues faster
+Fill out the [required template](https://github.com/alkaline-ml/pmdarima/issues/new?assignees=&labels=&template=FEATURE_REQUEST.md&title=), the information it asks us for helps us resolve issues faster
 
 ### Contributing Code
 

.github/ISSUE_TEMPLATE/QUESTION.md

@@ -10,7 +10,7 @@ assignees: ''
 <!-- Before asking a question, please consult our closed issues and docs to see
 if we have already addressed it:
 
-https://github.com/tgsmith61591/pmdarima/issues?q=is%3Aissue+is%3Aclosed
+https://github.com/alkaline-ml/pmdarima/issues?q=is%3Aissue+is%3Aclosed
 https://www.alkaline-ml.com/pmdarima/
 -->
 

AUTHORS.md

@@ -11,6 +11,6 @@ The following people have been core contributors to `pmdarima`'s development:
   * [Christopher Siewert](https://github.com/christopher-siewert)
 
 __Please do not email the authors directly with questions or issues.__ Rather, use
-the [issues](https://github.com/tgsmith61591/pmdarima/issues) page. Furthermore, issues
+the [issues](https://github.com/alkaline-ml/pmdarima/issues) page. Furthermore, issues
 or emails specifically related to assistance in learning time series analysis should be
 saved for Stack Overflow.

README.md

@@ -2,7 +2,7 @@
 
 [![PyPI version](https://badge.fury.io/py/pmdarima.svg)](https://badge.fury.io/py/pmdarima)
 [![CircleCI](https://circleci.com/gh/alkaline-ml/pmdarima.svg?style=svg)](https://circleci.com/gh/alkaline-ml/pmdarima)
-[![Build Status](https://dev.azure.com/tgsmith61591gh/pmdarima/_apis/build/status/tgsmith61591.pmdarima?branchName=master)](https://dev.azure.com/tgsmith61591gh/pmdarima/_build/latest?definitionId=1&branchName=master)
+[![Build Status](https://dev.azure.com/tgsmith61591gh/pmdarima/_apis/build/status/alkaline-ml.pmdarima?branchName=master)](https://dev.azure.com/tgsmith61591gh/pmdarima/_build/latest?definitionId=3&branchName=master)
 [![codecov](https://codecov.io/gh/alkaline-ml/pmdarima/branch/master/graph/badge.svg)](https://codecov.io/gh/alkaline-ml/pmdarima)
 ![Supported versions](https://img.shields.io/badge/python-3.5+-blue.svg)
 ![Downloads](https://img.shields.io/badge/dynamic/json?color=blue&label=downloads&query=%24.total&url=https%3A%2F%2Fstore.zapier.com%2Fapi%2Frecords%3Fsecret%3D1e061b29db6c4f15af01103d403b0237)

benchmarks/Benchmarking Seasonality.ipynb

@@ -15,7 +15,7 @@
    "source": [
     "### Setup\n",
     "\n",
-    "This portion won't change between versions of `pmdarima`. This dataset was submitted by a user in [Issue #12](https://github.com/tgsmith61591/pmdarima/issues/32) and showed a very slow performance on the `CHTest`. Therefore, it's effective for use in benchmarking."
+    "This portion won't change between versions of `pmdarima`. This dataset was submitted by a user in [Issue #12](https://github.com/alkaline-ml/pmdarima/issues/32) and showed a very slow performance on the `CHTest`. Therefore, it's effective for use in benchmarking."
    ]
   },
   {

build_tools/azure/build_and_deploy.yml

@@ -16,7 +16,7 @@ steps:
 - script: pytest --showlocals --durations=20 --mpl --mpl-baseline-path=etc/pytest_images --pyargs pmdarima --benchmark-skip
   displayName: 'Running unit tests'
 
-  # We build the source archive separately because of this: https://github.com/tgsmith61591/pmdarima/pull/136#discussion_r279781731
+  # We build the source archive separately because of this: https://github.com/alkaline-ml/pmdarima/pull/136#discussion_r279781731
 - script: make sdist
   displayName: 'Building source archive'
 

doc/about.rst

@@ -22,7 +22,7 @@ The name...
 
 The name "pyramid" originally was the result of an anagram between the "py" prefix and
 the characters needed to spell "arima". However, the popular web framework sharing the
-same name caused a `namespace collision <https://github.com/tgsmith61591/pmdarima/issues/34>`_
+same name caused a `namespace collision <https://github.com/alkaline-ml/pmdarima/issues/34>`_
 and the package has since been renamed ``pmdarima``. You may still see it referred to interchangeably
 throughout the doc as "pyramid".
 

doc/conf.py

@@ -232,6 +232,6 @@ def adds(pth):
 
 # The following is used by sphinx.ext.linkcode to provide links to github
 linkcode_resolve = make_linkcode_resolve(
-    'pmdarima', u('https://github.com/tgsmith61591/'
+    'pmdarima', u('https://github.com/alkaline-ml/'
                   'pmdarima/blob/{revision}/'
                   '{package}/{path}#L{lineno}'))

doc/contributing.rst

@@ -13,10 +13,10 @@ How to contribute
 -----------------
 
 The preferred workflow for contributing to pmdarima is to fork the
-`main repository <https://github.com/tgsmith61591/pmdarima>`_ on
+`main repository <https://github.com/alkaline-ml/pmdarima>`_ on
 Github, clone, and develop on a branch. Steps:
 
-1. Fork the `project repository <https://github.com/tgsmith61591/pmdarima>`_
+1. Fork the `project repository <https://github.com/alkaline-ml/pmdarima>`_
    by clicking on the 'Fork' button near the top right of the page. This
    creates a copy of the code under your Github user account.
 
@@ -25,7 +25,7 @@ Github, clone, and develop on a branch. Steps:
 
    .. code-block:: bash
 
-       $ git clone https://github.com/tgsmith61591/pmdarima.git
+       $ git clone https://github.com/alkaline-ml/pmdarima.git
        $ cd pmdarima
 
 3. Create a ``feature`` branch to hold your development changes:
@@ -112,8 +112,8 @@ It is recommended to check that your issue complies with the
 following rules before submitting:
 
 -  Verify that your issue is not being currently addressed by other
-   `issues <https://github.com/tgsmith61591/pmdarima/issues>`_
-   or `pull requests <https://github.com/tgsmith61591/pmdarima/pulls>`_.
+   `issues <https://github.com/alkaline-ml/pmdarima/issues>`_
+   or `pull requests <https://github.com/alkaline-ml/pmdarima/pulls>`_.
 
 -  If your issue references and pull request, reference it in the body of your
    descriptive text using ``!<PULL REQUEST NUMBER>``

doc/setup.rst

@@ -41,7 +41,7 @@ you can always build it from the git source. First clone it from Git:
 
 .. code-block:: bash
 
-    $ git clone https://github.com/tgsmith61591/pmdarima.git
+    $ git clone https://github.com/alkaline-ml/pmdarima.git
     $ cd pmdarima
 
 Building the package will require ``gcc`` (unix) or a Windows equivalent, like

doc/tips_and_tricks.rst

@@ -140,7 +140,7 @@ data in order to make it stationary, we can conduct a test of stationarity
 (either ``ADFTest``, ``PPTest`` or ``KPSSTest``).
 
 Each of these tests is based on the R source code, and **are primarily intended to**
-**be used internally**. See `this issue <https://github.com/tgsmith61591/pmdarima/issues/67>`_
+**be used internally**. See `this issue <https://github.com/alkaline-ml/pmdarima/issues/67>`_
 for more info. Here's an example of an ADF test:
 
 .. code-block:: python

doc/usecases/stocks.rst

@@ -294,5 +294,5 @@ Conclusion
 The TDS article provided an awesome example of how to use ARIMAs to predict stocks. Our
 hope in this example was to show how using pmdarima can simplify and enhance the models
 you build. If you'd like to run the already-setup notebook for yourself, head on over to
-the `project's Git page <https://github.com/tgsmith61591/pmdarima/blob/develop/examples/stock_market_example.ipynb>`_
+the `project's Git page <https://github.com/alkaline-ml/pmdarima/blob/develop/examples/stock_market_example.ipynb>`_
 and grab the example notebook.

doc/whats_new.rst

@@ -13,7 +13,7 @@ v0.8.1) will document the latest features.
 
 * No longer use statsmodels' ``ARIMA`` or ``ARMA`` class under the hood; only use
   the ``SARIMAX`` model, which cuts back on a lot of errors/warnings we saw in the past.
-  (`#211 <https://github.com/tgsmith61591/pmdarima/issues/211>`_)
+  (`#211 <https://github.com/alkaline-ml/pmdarima/issues/211>`_)
 
 * Defaults in the ``ARIMA`` class that have changed as a result of #211:
 
@@ -26,20 +26,20 @@ v0.8.1) will document the latest features.
   even when ``df_model`` accounted for the constant term.
 
 * New :class:`pmdarima.arima.auto.StepwiseContext` feature for more control over
-  fit duration (introduced by `@kpsunkara <https://github.com/kpsunkara>`_ in `#221 <https://github.com/tgsmith61591/pmdarima/pull/221>`_).
+  fit duration (introduced by `@kpsunkara <https://github.com/kpsunkara>`_ in `#221 <https://github.com/alkaline-ml/pmdarima/pull/221>`_).
 
 * Adds the :class:`pmdarima.preprocessing.LogEndogTransformer` class as discussed in
-  `#205 <https://github.com/tgsmith61591/pmdarima/issues/205>`_
+  `#205 <https://github.com/alkaline-ml/pmdarima/issues/205>`_
 
 * Exogenous arrays are no longer cast to numpy array by default, and will pass pandas
-  frames through to the model. This keeps variable names intact in the summary (`#222 <https://github.com/tgsmith61591/pmdarima/issues/222>`_)
+  frames through to the model. This keeps variable names intact in the summary (`#222 <https://github.com/alkaline-ml/pmdarima/issues/222>`_)
 
 * Added the ``prefix`` param to exogenous featurizers to allow the addition of meaningful
   names to engineered features.
 
 * Added polyroot test of near non-invertibility when ``stepwise=True``. For
   models that are near non-invertible will be deprioritized in model selection
-  as requested in `#208 <https://github.com/tgsmith61591/pmdarima/issues/208>`_.
+  as requested in `#208 <https://github.com/alkaline-ml/pmdarima/issues/208>`_.
 
 * Removes ``pmdarima.arima.ARIMA.add_new_samples``, which was previously deprecated.
   Use :func:`pmdarima.arima.ARIMA.update` instead.
@@ -58,18 +58,18 @@ v0.8.1) will document the latest features.
 
 * Added `diff_inv` function that is in parity with R's implementation,
   `diffinv <https://stat.ethz.ch/R-manual/R-devel/library/stats/html/diffinv.html>`_,
-  as requested in `#180 <https://github.com/tgsmith61591/pmdarima/issues/180>`_.
+  as requested in `#180 <https://github.com/alkaline-ml/pmdarima/issues/180>`_.
 
 `v1.4.0 <http://alkaline-ml.com/pmdarima/1.4.0/>`_
 --------------------------------------------------
 
-* Fixes `#191 <https://github.com/tgsmith61591/pmdarima/issues/191>`_, an issue where
+* Fixes `#191 <https://github.com/alkaline-ml/pmdarima/issues/191>`_, an issue where
   the OCSB test could raise ``ValueError: negative dimensions are not allowed" in OCSB test``
 
 * Add option to automatically inverse-transform endogenous transformations when predicting
-  from pipelines (`#197 <https://github.com/tgsmith61591/pmdarima/issues/197>`_)
+  from pipelines (`#197 <https://github.com/alkaline-ml/pmdarima/issues/197>`_)
 
-* Add ``predict_in_sample`` to pipeline (`#196 <https://github.com/tgsmith61591/pmdarima/issues/196>`_)
+* Add ``predict_in_sample`` to pipeline (`#196 <https://github.com/alkaline-ml/pmdarima/issues/196>`_)
 
 * Parameterize ``dtype`` option in datasets module
 
@@ -89,14 +89,14 @@ v0.8.1) will document the latest features.
 
 * Adds a new dataset for stock prediction, along with an associated example (``load_msft``)
 
-* Fixes a bug in ``predict_in_sample``, as addressed in `#140 <https://github.com/tgsmith61591/pmdarima/issues/140>`_.
+* Fixes a bug in ``predict_in_sample``, as addressed in `#140 <https://github.com/alkaline-ml/pmdarima/issues/140>`_.
 
 * Numpy 1.16+ is now required
 
 * Statsmodels 0.10.0+ is now required
 
 * Added ``sarimax_kwargs`` to ``ARIMA`` constructor and ``auto_arima`` function.
-  This fixes `#146 <https://github.com/tgsmith61591/pmdarima/issues/146>`_
+  This fixes `#146 <https://github.com/alkaline-ml/pmdarima/issues/146>`_
 
 
 `v1.2.1 <http://alkaline-ml.com/pmdarima/1.2.1/>`_
@@ -108,7 +108,7 @@ v0.8.1) will document the latest features.
 `v1.2.0 <http://alkaline-ml.com/pmdarima/1.2.0/>`_
 --------------------------------------------------
 
-* Adds the ``OCSBTest`` of seasonality, as discussed in `#88 <https://github.com/tgsmith61591/pmdarima/issues/88>`_
+* Adds the ``OCSBTest`` of seasonality, as discussed in `#88 <https://github.com/alkaline-ml/pmdarima/issues/88>`_
 
 * Default value of ``seasonal_test`` changes from "ch" to "ocsb" in ``auto_arima``
 
@@ -144,7 +144,7 @@ v0.8.1) will document the latest features.
 `v1.1.1 <http://alkaline-ml.com/pmdarima/1.1.1/>`_
 --------------------------------------------------
 
-v1.1.1 is a patch release in response to `#104 <https://github.com/tgsmith61591/pmdarima/issues/104>`_
+v1.1.1 is a patch release in response to `#104 <https://github.com/alkaline-ml/pmdarima/issues/104>`_
 
 * Deprecates the ``ARIMA.add_new_observations`` method. This method originally was designed to support
   updating the endogenous/exogenous arrays with new observations without changing the model parameters,
@@ -165,16 +165,16 @@ v1.1.1 is a patch release in response to `#104 <https://github.com/tgsmith61591/
 `v1.1.0 <http://alkaline-ml.com/pmdarima/1.1.0/>`_
 --------------------------------------------------
 
-* Adds ``ARIMA.plot_diagnostics`` method, as requested in `#49 <https://github.com/tgsmith61591/pmdarima/issues/49>`_
+* Adds ``ARIMA.plot_diagnostics`` method, as requested in `#49 <https://github.com/alkaline-ml/pmdarima/issues/49>`_
 
 * Adds new arg to ``ARIMA`` constructor and ``auto_arima``: ``with_intercept`` (default is True).
 
 * New default for ``trend`` is no longer ``'c'``, it is ``None``.
 
-* Adds ``to_dict`` method to ``ARIMA`` class to address `Issue #54 <https://github.com/tgsmith61591/pmdarima/issues/54>`_
+* Adds ``to_dict`` method to ``ARIMA`` class to address `Issue #54 <https://github.com/alkaline-ml/pmdarima/issues/54>`_
 
 * ARIMA serialization no longer stores statsmodels results wrappers in the cache,
-  but bundles them into the pickle file. This solves `Issue #48 <https://github.com/tgsmith61591/pmdarima/issues/48>`_
+  but bundles them into the pickle file. This solves `Issue #48 <https://github.com/alkaline-ml/pmdarima/issues/48>`_
   and only works on statsmodels 0.9.0+ since they've fixed a bug on their end.
 
 * The ``'PMDARIMA_CACHE'`` and ``'PMDARIMA_CACHE_WARN_SIZE'`` environment variables are
@@ -185,10 +185,10 @@ v1.1.1 is a patch release in response to `#104 <https://github.com/tgsmith61591/
 
 * Fixes bug in ``ADFTest`` where ``OLS`` was computed with ``method="pinv"`` rather
   than ``"method=qr"``. This fix means better parity with R's results. See
-  `#71 <https://github.com/tgsmith61591/pmdarima/pull/71>`_ for more context.
+  `#71 <https://github.com/alkaline-ml/pmdarima/pull/71>`_ for more context.
 
 * ``CHTest`` now solves linear regression with ``normalize=True``. This solves
-  `#74 <https://github.com/tgsmith61591/pmdarima/issues/74>`_
+  `#74 <https://github.com/alkaline-ml/pmdarima/issues/74>`_
 
 * Python 3.7 is now supported(!!)
 
@@ -201,7 +201,7 @@ v1.1.1 is a patch release in response to `#104 <https://github.com/tgsmith61591/
 
 * Migrates namespace from 'pyramid-arima' to 'pmdarima'. This is due to the fact that
   a growing web-framework (also named Pyramid) is causing namespace collisions when
-  both packages are installed on a machine. See `Issue #34 <https://github.com/tgsmith61591/pmdarima/issues/34>`_
+  both packages are installed on a machine. See `Issue #34 <https://github.com/alkaline-ml/pmdarima/issues/34>`_
   for more detail.
 
 * Removes redundant Travis tests
@@ -255,7 +255,7 @@ v0.8.1
   - Specifies the location of the ARIMA result pickles (see :ref:`serializing`)
   - Specifies the ARIMA result pickle name pattern
 
-* Fixes bug (`Issue #30 <https://github.com/tgsmith61591/pmdarima/issues/30>`_) in ``ARIMA``
+* Fixes bug (`Issue #30 <https://github.com/alkaline-ml/pmdarima/issues/30>`_) in ``ARIMA``
   where using CV with differencing and no seasonality caused a dim mismatch in the model's
   exog array and its endog array
 

examples/issue12/issue-12.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# [Issue 12](https://github.com/tgsmith61591/pyramid/issues/12)\n",
+    "# [Issue 12](https://github.com/alkaline-ml/pyramid/issues/12)\n",
     "\n",
     "The purpose of this notebook is to debug issue 12\n",
     "\n",

examples/quick_start_example.ipynb

@@ -6,9 +6,9 @@
    "source": [
     "# `auto_arima`\n",
     "\n",
-    "Pyramid bring R's [`auto.arima`](https://www.rdocumentation.org/packages/forecast/versions/7.3/topics/auto.arima) functionality to Python by wrapping statsmodel [`ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima_model.py) and [`SARIMAX`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/sarimax.py) models into a singular scikit-learn-esque estimator ([`pmdarima.arima.ARIMA`](https://github.com/tgsmith61591/pyramid/blob/master/pyramid/arima/arima.py)) and adding several layers of degree and seasonal differencing tests to identify the optimal model parameters.\n",
+    "Pmdarima bring R's [`auto.arima`](https://www.rdocumentation.org/packages/forecast/versions/7.3/topics/auto.arima) functionality to Python by wrapping statsmodel [`ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima_model.py) and [`SARIMAX`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/sarimax.py) models into a singular scikit-learn-esque estimator ([`pmdarima.arima.ARIMA`](https://github.com/alkaline-ml/pmdarima/blob/master/pmdarima/arima/arima.py)) and adding several layers of degree and seasonal differencing tests to identify the optimal model parameters.\n",
     "\n",
-    "__Pyramid ARIMA models:__\n",
+    "__Pmdarima ARIMA models:__\n",
     "\n",
     "  - Are fully picklable for easy persistence and model deployment\n",
     "  - Can handle seasonal terms (unlike statsmodels ARIMAs)\n",