* Initial test implementation of combining 2 or more models in to one.
* Added support to Pipeline.combine_models for combining other types of items
and transform only inputs.
* Combine Pipeline._evaluation_infer and _evaluation in to one method.
This fixes an issue where a classifier graph would not contain the
correct nodes after calling Pipeline._predict().
* Missing part of previous check-in.
* Fix the Pipeline.combine_models signature to work with Python 2.7.
* Add classes_ to Pipeline and/or predictor when calling predict_proba.
* Update test_estimator_checks.py to skip the check_dict_unchanged
test for any estimator which supports predict_proba or decision_function.
* Save the model file when pickling a NimbusML Pipeline.
* Add version to the pickled Pipeline.
* Add the steps attribute to a pickled Pipeline instance.
* Add extra unit test for pickled nimbusml pipelines.
* Add export_version to pickled base_pipeline_items.
Remove unnecessary export_version attribute from an unpickled Pipeline.
* Update the LightGbm entry point with the latest version from the manifest.
* Add SsaForecasting examples to the release notes.
* Add documentation modification to the release notes.
* Create the official 1.2.0 release notes. They have been put in the
docs/release-notes folder to closely match the ml.net directory
structure.
* Add correct version to the release notes title.
* Re-enable the SsaForecaster tests.
* Update to the latest version of ml.net. Update the NimbusML version.
* Fix issues with the summary unit tests.
* Comment out the SymSgdBinaryClassifier summary test. It does not
appear to be working on linux.
* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts
* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.
* Import the Microsoft.ML.TimeSeries assembly in to the project.
* Use 'PassAs' in manifest.json to fix the source parameter name.
* Use float32 for data dtype in IidSpikeDetector example.
* Convert IidSpikeDetector to a standard transform. Add examples and tests.
* Add pre-transform to IidSpikeDetector to fix incompatible data types.
* Fix issues with the test_estimator_checks IidSpikeDetector tests.
* Remove unnecessary TypeConverter import in IidSpikeDetector example.
* Initial implementation of IidChangePointDetector.
* Initial implementation of SsaSpikeDetector.
* Initial implementation of SsaChangePointDetector.
* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.
* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.
* Remove all examples from the tests to see how it impacts the CI run.
* Put long running tests in to their own folder to shorten build times.
* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.
* package System.Drawings.Common.dll as its missing in dotnetcore2
* typo
* Add png for Image examples
* try linux fix
* rollback scikit learn version
* test
* debug
* rollback test
* rollback
* fix fontconfig err
* fix tests
* print platform
* get os names
* test
* test
* fix linux
* Upgrade version
* package System.Drawings.Common.dll as its missing in dotnetcore2
* typo
* Add png for Image examples
* try linux fix
* rollback scikit learn version
* test
* debug
* rollback test
* rollback
* fix fontconfig err
* fix tests
* print platform
* get os names
* test
* test
* fix linux
* Fix signature import error when using latest version of scikit-learn.
Fixes#111
* Move the conditional import of the signature method in to the utils package.
* Fix build issue on Windows when VS2019 is installed.
Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.
* Add missing arguments to fix build issue with latest version of autoflake.
* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes#106
* Simplify the code that deletes cached summaries when calling fit.
* Fix build issue on Windows when VS2019 is installed.
Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.
* Add missing arguments to fix build issue with latest version of autoflake.
Najeeb Kazmi
Gani Nazirov
pieths
Santiago Fernandez Madero
Stephen0620