Add tutorial how to work with embedding models #304
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* Implement TS2VecModel (#253) * add ts2vec model * delete unnecessary utils * add multiscale mode * revert to common encode in model class * lints * reformat save method, add _is_fitted attr * fix embeddings shapes * fix * one more fix * pass numpy array to fit * add tests checking nans in embeddings * update changelog --------- Co-authored-by: Egor Baturin <egoriyaa@github.com> * Implement EmbeddingSegmentTransform and EmbeddingWindowTransform (#265) * add transforms * update changelog * fix ts2vec tests * fix * update rst, encoding_params * fix * fix * fix * fix docstring * add training_params * add freeze method * fix inference tests * lints * fix lisence * fix lisence, fix docs * fix quotes --------- Co-authored-by: Egor Baturin <egoriyaa@github.com> * Implement TSTCC (#294) * add tstcc * add einops package * remove pd.testing in inference tests * fix * add verbose param, refactor logging, fix warning * fix logging loss * add changelog * catch torch warning * fix * catch nn.Conv1d warning --------- Co-authored-by: Egor Baturin <egoriyaa@github.com> * lints * fix * Add tutorial how to work with embedding models (#304) * fix tstcc * move lr param from __init__ to fit * add tutorial * fix notebook * update changelog * fix changelog * lints * fix notebook * update readme * fix readme * fix readme * write comment in libs/ts2vec/ts2vec.py * fix notebook * remove multiscale option in ts2vec * lints * fix notebook --------- Co-authored-by: Egor Baturin <egoriyaa@github.com> * fix atol in inference tests * downgrade poetry --------- Co-authored-by: Egor Baturin <egoriyaa@github.com>
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Before submitting (must do checklist)
Proposed Changes
Closing issues
closes #297