EMIRT push

[SiHhangChen]

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Description

The EM algorithm part of the IRT model has been completed and is now submitted

What does this implement/fix? Explain your changes.

Completed part of the code on the EM algorithm in the IRT model, and provided several functions such as fit, predict, predict_proba, save, load, etc. according to the definition of the parent class.
Completed part of the documentation on the EM algorithm of the IRT model in the DOC.
Completed The part about the IRT model EM algorithm in test and example

Pull request type

• [DATASET] Add a new dataset
• [BUGFIX] Bugfix
• [FEATURE] New feature (non-breaking change which adds functionality)
• [BREAKING] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [STYLE] Code style update (formatting, renaming)
• [REFACTOR] Refactoring (no functional changes, no api changes)
• [BUILD] Build related changes
• [DOC] Documentation content changes
• [Sync] Synchronization with a repository
• [OTHER] Other (please describe):

Changes

• Feature1, tests, (and when applicable, API doc)
• Feature2, tests, (and when applicable, API doc)

or

• Fix1, tests
• Fix2, tests

Does this close any currently open issues?

...

Any relevant logs, error output, etc?

...

Checklist

Before you submit a pull request, please make sure you have to following:

Essentials

• PR's title starts with a category (e.g. [BUGFIX], [FEATURE], [BREAKING], [DOC], etc)
• Changes are complete (i.e. I finished coding on this PR)
• All changes have test coverage and al tests passing
• Code is well-documented (extended the README / documentation, if necessary)
• If this PR is your first one, add your name and github account to AUTHORS.md

Comments

• If this change is a backward incompatible change, why must this change be made.
• Interesting edge cases to note here

[SiHhangChen]

thanks

[SiHhangChen]

pytest had passed, predict and predict_proba function added parameter
'val_data '