Visualize attention matrix in SAITS

[gugababa]

Added file visualizeAttention.py to pypots.utils.visual for visualization of attention matrix from DMSA heads of SAITS.
The required dependencies are: numpy, seaborn, matplotlib

Fixing #178

• I have commented my code, particularly in hard-to-understand areas.
• I have written necessary tests and already run them locally.

[coveralls]

Pull Request Test Coverage Report for Build 8246897395

Details

• 1 of 19 (5.26%) changed or added relevant lines in 2 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage decreased (-0.2%) to 81.405%

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Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
pypots/utils/visual/visualizeAttention.py	0	18	0.0%

Totals
Change from base Build 8246332478:	-0.2%
Covered Lines:	5122
Relevant Lines:	6292

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💛 - Coveralls

[WenjieDu]

Many thanks, Anshu, for your first PR to PyPOTS! I've refactored your code by removing typos and unused imports.

Could you please run your function visualize_attention() just after obtaining results from SAITS in this line of code here

PyPOTS/tests/imputation/saits.py

Line 67 in 3ff6887

imputation_results = self.saits.predict(TEST_SET, return_latent_vars=True)

so we can test and ensure the function works well

[github-actions]

This pull request had no activity for 14 days. It will be closed in 1 week unless there is some new activity.

[gugababa]

Hi Wenjie,

I have made edits to the file to address errors in setting axis parameters. I have also made a change to return the Figure object as opposed to an Axes object and added an option for adjusting the font scale of the Seaborn heatmap. The function has been tested locally and works with the output of self.saits.predict(). Thank you!

[github-actions]

This pull request had no activity for 14 days. It will be closed in 1 week unless there is some new activity.

[github-actions]

This pull request had no activity for 14 days. It will be closed in 1 week unless there is some new activity.