[release] 0.10.1 🎉 #132
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[release] 0.10.1 🎉 #132
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* Finish bulk of pomegranate -> hmmlearn migration * Remove pomegranate dependency + add hmmlearn * Finish GMMHMM tests * Finish HMMClassifier tests * Finish _Validator tests * Redo GMMHMM documentation * Redo GMMHMM documentation * Update README * Update README * Change strict left-right topology to linear * Update notebook * Improve GMMHMM initial/transitions documentation * Improve documentation diagrams * Update HMM classifier diagram size * Fix README issues * Fix README superscript * Fix FastDTW reference * Specify sphinx version and switch m2r to m2r2 * Center sequentia title in docs * Fix tests for Python >=3.6 * Remove Python 3.5, add 3.8+3.9 * Change assertion tolerances + Python versions * Remove Python 3.9 support (temp)
* Add notebooks/requirements.txt * Re-implement DTW KNN without FastDTW * Remove list_of_strings validator * Rename _parallel_predict to _chunk_predict * Redo KNNClassifier documentation * Fix KNNClassifier validations * Fix KNNClassifier validations * Clean up KNNClassifier multiprocessing * Add note about KNNClassifier verbose+njobs * Finish KNNClassifier documentation * Remove test notebook * Finish KNNClassifier tests * Finish KNNClassifier tests * Specify n_jobs range * Add properties * Specify k range * Update README * Fix README.md * Fix README.md * Fix README.md * Update README * Finish README.md
* Remove h5py dependency and add Python v3.9 * Upgrade Python version requirement
* Use intersphinx for external documentation links * Iterable -> array-like * Fix GMMHMM iterable type * Add space between parameters and types * Fix classes type
* Change List[X] to list of X
* Fix minor typos in README.md
* Add warning to TrimZeros documentation
* Change min-max scale bounds to floats
* Allow array-like of transforms instead of list
* Always have a newline after class docstring
* Add docstrings to test cases
* Add HMMClassifier serialization/deserialization
* Change input format notebook
* Use relative (fractional) Sakoe-Chiba window width
* Add __repr__ function to all classifiers
* Use feature-independent warping (DTWI)
* Update copyright and move references
* Ensure minimum Sakoe-Chiba band width is 1 * Add Sakoe–Chiba to README.md
# Conflicts: # README.md # lib/sequentia/__init__.py # setup.py
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Minor changes
sigment. (#130)