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Installing the development version of scikit-le...
git # add --depth 1 if your connection is slow cd...only supported in pip version 23.1 or later. To upgrade pip to a...scikit-learn.org/stable/developers/advanced_installation.html -
Confusion matrix — scikit-learn 1.7.2 doc...
confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors:...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
3.3. Tuning the decision threshold for class pr...
1, 1]) While these hard-coded rules...case an insurance company). 3.3.1.1. Options to tune the decision...scikit-learn.org/stable/modules/classification_threshold.html -
API Reference — scikit-learn 1.7.2 docume...
Scale each feature to the [-1, 1] range without breaking the...make_friedman1 Generate the “Friedman #1” regression problem. sklearn.datasets...scikit-learn.org/stable/api/index.html -
Developing Estimators — scikit-learn 1.7....
Examples concerning the development of Custom Estimator.__sklearn_is_fitted__ as Developer APIscikit-learn.org/stable/auto_examples/developing_estimators/index.html -
Covariance estimation — scikit-learn 1.7....
Examples concerning the sklearn.covariance module. Ledoit-Wolf vs OAS estimation Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage c...scikit-learn.org/stable/auto_examples/covariance/index.html -
Kernel Approximation — scikit-learn 1.7.2...
Examples concerning the sklearn.kernel_approximation module. Scalable learning with polynomial kernel approximationscikit-learn.org/stable/auto_examples/kernel_approximation/index.html -
sklearn.compose — scikit-learn 1.7.2 docu...
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html -
sklearn.cross_decomposition — scikit-lear...
Algorithms for cross decomposition. User guide. See the Cross decomposition section for further details.scikit-learn.org/stable/api/sklearn.cross_decomposition.html -
sklearn.impute — scikit-learn 1.7.2 docum...
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html