scikit-learn / scikit-learn/scikit-learn

str categorical data : CategoricalNB needed classes_array to understand in which classes order are arrays for feature_log_prob_

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Enhancement module:naive_bayes
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Description

1
great code for CategoricalNB thanks
we waited for long time
2
only
for CategoricalNB needed classes_array to understand in which classes order are arrays for feature_log_prob_ for target defined as str
for example : good and bad
or
green and red

may be needed Attribute classes_array
like for LogisticRegression
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
Attributes

classes_array, shape (n_classes, )

A list of class labels known to the classifier.
3
also can you add capability to send str format categorical data as it is
for now we use LabelEncoder to transform str categorical data to integers

thanks a lot in advance ...

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Research direction

Start by reviewing CategoricalNB's public attributes and the LogisticRegression classes_ documentation referenced in the issue. Clarify whether the work covers exposing class-label order, accepting string-valued categorical data, or both, then identify the relevant estimator tests. Done should include agreed behavior for string labels and class ordering, with tests demonstrating both.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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