- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 761 - 770 of 1,824 for document (0.93 sec)
-
sklearn.preprocessing — scikit-learn 1.5.2 docu...
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.scikit-learn.org/stable/api/sklearn.preprocessing.html -
get_scorer — scikit-learn 1.5.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.4 Post-tuning the decision threshold for cost-sensitive learningscikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
load_iris — scikit-learn 1.5.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.2 Release Highlights for scikit-learn 0.24 Release Highlights for scikit-learn 0.22 Plot classification probability K-means Clustering Plot H...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
k_means — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub k_means # sklearn.cluster. k_means ( X , n_clusters , * , sample_wei...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
check_memory — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub check_memory # sklearn.utils.validation. check_memory ( memory ) [so...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_memory.html -
config_context — scikit-learn 1.5.2 documentation
Gallery examples: Introducing the set_output APIscikit-learn.org/stable/modules/generated/sklearn.config_context.html -
partial_dependence — scikit-learn 1.5.2 documen...
Gallery examples: Partial Dependence and Individual Conditional Expectation Plotsscikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
sklearn.exceptions — scikit-learn 1.5.2 documen...
Custom warnings and errors used across scikit-learn.scikit-learn.org/stable/api/sklearn.exceptions.html -
Probability calibration of classifiers — scikit...
When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some kind of confidence on the prediction. However...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Univariate Feature Selection — scikit-learn 1.5...
This notebook is an example of using univariate feature selection to improve classification accuracy on a noisy dataset. In this example, some noisy (non informative) features are added to the iris...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html