- Sort Score
- Num 10 results
- Language All
- Labels All
Results 621 - 630 of 4,138 for document (5.01 seconds)
Filter
-
DummyClassifier — scikit-learn 1.8.0 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
PredictionErrorDisplay — scikit-learn 1.8.0 doc...
Gallery examples: Time-related feature engineering Lagged features for time series forecasting Effect of transforming the targets in regression model Combine predictors using stacking Common pitfal...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
make_scorer — scikit-learn 1.8.0 documentation
Gallery examples: Lagged features for time series forecasting Prediction Intervals for Gradient Boosting Regression Features in Histogram Gradient Boosting Trees Post-tuning the decision threshold ...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
confusion_matrix_at_thresholds — scikit-learn 1...
Gallery examples: Evaluate the performance of a classifier with Confusion Matrixscikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
label_ranking_loss — scikit-learn 1.8.0 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version label_ranking_loss # sklearn.metrics. label_ranking_l...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html -
Clustering — scikit-learn 1.8.0 documentation
Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...scikit-learn.org/stable/auto_examples/cluster/index.html -
Decomposition — scikit-learn 1.8.0 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...scikit-learn.org/stable/auto_examples/decomposition/index.html -
LocallyLinearEmbedding — scikit-learn 1.8.0 doc...
Gallery examples: Visualizing the stock market structure Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Manifold Learning methods...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
LinearDiscriminantAnalysis — scikit-learn 1.8.0...
Gallery examples: Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Linear and Quadratic Discriminant Analysis with covariance ellipsoid Comparison of LDA and PCA 2D proje...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
SpectralClustering — scikit-learn 1.8.0 documen...
Gallery examples: Comparing different clustering algorithms on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html