Add TEFN and implement it as an imputation model

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

BSD 3-Clause "New" or "Revised" License

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[x] This PR is made to fix a typo or improve the docs (you can dismiss the other checks if this is the case).

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Pull Request Test Coverage Report for Build 10769470955

Details

129 of 132 (97.73%) changed or added relevant lines in 8 files are covered.
3 unchanged lines in 3 files lost coverage.
Overall coverage increased (+0.2%) to 83.273%

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
pypots/imputation/tefn/model.py	61	64	95.31%
<!--	Total:	129	132	97.73%	-->

Files with Coverage Reduction	New Missed Lines	%
pypots/imputation/csdi/model.py	1	84.85%
pypots/classification/base.py	1	74.77%
pypots/clustering/vader/model.py	1	85.43%
<!--	Total:	3	-->

Totals
Change from base Build 10695140728:	0.2%
Covered Lines:	11261
Relevant Lines:	13523

WenjieDu / PyPOTS