Feature:: Preprocessing models

[AHReccese]

Reference Issues/PRs

88

What does this implement/fix? Explain your changes.

In this PR following changes are applied:

Following preprocessing classes are implemented and tested. In front of each module, I wrote the problem we faced when adding it to Pymilo.

• [x] FunctionTransformer
• [x] KBinsDiscretizer ( :no_entry: Shape miss-match array([[..],...,[...]]) and array([array([..]),...,array([...])])
• [x] KernelCenterer
• [x] MultiLabelBinarizer
• [x] MaxAbsScaler
• [x] Normalizer
• [x] OrdinalEncoder ( :warning: when saving the JSON file one of encoded_missing_value field could be NaN which I think can make JSON file unparsable)
• [x] PolynomialFeatures
• [x] PowerTransformer ( :no_entry: Dependent on the StandardScaler transportation - transportation loop)
• [x] QuantileTransformer
• [x] RobustScaler
• [x] SplineTransformer ( :no_entry: Dependent on the scipy.interpolate.BSpline)
• [x] TargetEncoder ( :no_entry: sklearn.__version__ > 1.3)

Tests for the following preprocessing classes are tested:

• [x] StandardScaler
• [x] OneHotEncoder
• [x] LabelBinarizer
• [x] LabelEncoder

Any other comments?

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 82.66667% with 13 lines in your changes are missing coverage. Please review.

Project coverage is 85.41%. Comparing base (06716ac) to head (5211ad6). Report is 15 commits behind head on dev.

:exclamation: Current head 5211ad6 differs from pull request most recent head 3d7dd6c

Please upload reports for the commit 3d7dd6c to get more accurate results.

Files	Patch %	Lines
...transporters/general_data_structure_transporter.py	64.29%	3 Missing and 2 partials :warning:
pymilo/pymilo_param.py	66.67%	4 Missing :warning:
pymilo/transporters/preprocessing_transporter.py	89.75%	2 Missing and 2 partials :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## dev #104 +/- ## ========================================== - Coverage 87.40% 85.41% -1.99% ========================================== Files 31 36 +5 Lines 1142 1774 +632 Branches 201 388 +187 ========================================== + Hits 998 1515 +517 - Misses 90 163 +73 - Partials 54 96 +42 ```

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[AHReccese]

@sadrasabouri Dear Sadra, please review my updates.

[AHReccese]

NaN-type support is also added. Also please listen to voices in telegram, I've explained what I've done to handle these cases:

• KBinsDiscretizer
• PowerTransformer
• SplineTransformer
• TargetEncoder
• OrdinalEncoder

@sadrasabouri

[AHReccese]

We will address the coverage issue in a separate PR. I will enhance code coverage to over 90%.

[AHReccese]

Dear Sadra, I've applied your suggestions, thank you so much for your detailed review. I really appreciate it. Please re-review again.

[sepandhaghighi]

LGTM now, @sepandhaghighi can you please review it?

I will review this pull request within the next 48 hours. 💯

[AHReccese]

@sadrasabouri Thank you Sadra for applying Sepand's comments, I went through them one by one and it is great! @sepandhaghighi waiting for your final review sir.