Add FITS imputation model and update docs

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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Before submitting

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

[x] Was this discussed/approved via a GitHub issue? Please add a link to it if that's the case.

[x] I have commented my code, particularly in hard-to-understand areas.

[x] I have written necessary tests and already run them locally.

Pull Request Test Coverage Report for Build 11056787314

Details

133 of 144 (92.36%) changed or added relevant lines in 6 files are covered.
1 unchanged line in 1 file lost coverage.
Overall coverage increased (+0.1%) to 83.443%

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
pypots/imputation/fits/core.py	30	32	93.75%
pypots/imputation/fits/model.py	64	67	95.52%
pypots/nn/modules/fits/backbone.py	26	32	81.25%
<!--	Total:	133	144	92.36%	-->

Files with Coverage Reduction	New Missed Lines	%
pypots/imputation/gpvae/model.py	1	86.21%
<!--	Total:	1		-->

Totals
Change from base Build 11046405623:	0.1%
Covered Lines:	11329
Relevant Lines:	13577

WenjieDu / PyPOTS