- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 811 - 820 of 1,826 for document (0.22 sec)
-
power_transform — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub power_transform # sklearn.preprocessing. power_transform ( X , metho...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
classification_report — scikit-learn 1.5.2 docu...
Gallery examples: Recognizing hand-written digits Faces recognition example using eigenfaces and SVMs Pipeline ANOVA SVM Custom refit strategy of a grid search with cross-validation Restricted Bolt...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
sklearn.manifold — scikit-learn 1.5.2 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
make_friedman1 — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub make_friedman1 # sklearn.datasets. make_friedman1 ( n_samples = 100 ...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
dcg_score — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub dcg_score # sklearn.metrics. dcg_score ( y_true , y_score , * , k = ...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
matthews_corrcoef — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub matthews_corrcoef # sklearn.metrics. matthews_corrcoef ( y_true , y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
check_cv — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub check_cv # sklearn.model_selection. check_cv ( cv = 5 , y = None , *...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
sklearn.inspection — scikit-learn 1.5.2 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
rand_score — scikit-learn 1.5.2 documentation
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
log_loss — scikit-learn 1.5.2 documentation
Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Gradient Boosting Out-of-Bag estimates Gradient Boosting regularization Probabilistic predictions...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html