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scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
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Why doesn't SciKit-Learn's KBinsDiscretizer's 'quantile' strategy distribute values evenly i...
According to SciKit Learn's documentation for sklearn.preprocessing.KBinsDiscretizer, the quantile strategy is suppose the ensure that
All bins in each feature have the same number of points
However …
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How to get the feature names from a OneHotEncoder embedded in a ColumnTransformer?
How can I get the feature names from a OneHotEncoder embedded in a ColumnTransformer?
The following piece of code:
import pandas as pd
from sklearn.compose import ColumnTransformer
from sklearn.prepro …
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answer
45
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How are the successive sets of training samples that are allocated for each iteration of Hal...
The scikit-learn classes HalvingGridSearchCV and HalvingRandomSearchCV implement a hyperparameter tuning method known as successive halving. It is an iterative selection process in which all the param …