- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 821 - 830 of 1,819 for document (0.5 sec)
-
pairwise_distances_argmin — scikit-learn 1.5.2 ...
‘yule’] See the documentation for scipy.spatial.distance...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
Faces recognition example using eigenfaces and ...
decompositions Classification of text documents using sparse features Classification...Classification of text documents using sparse features Gallery generated...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Restricted Boltzmann Machine features for digit...
Documentation for LogisticRegression i...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
1. Metadata Routing — scikit-learn 1.5.2 docume...
requirements introduced in this document are only relevant if you want...scikit-learn.org/stable/metadata_routing.html -
Overview of multiclass training meta-estimators...
In this example, we discuss the problem of classification when the target variable is composed of more than two classes. This is called multiclass classification. In scikit-learn, all estimators su...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Class Likelihood Ratios to measure classificati...
This example demonstrates the class_likelihood_ratios function, which computes the positive and negative likelihood ratios ( LR+, LR-) to assess the predictive power of a binary classifier. As we w...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Comparison between grid search and successive h...
This example compares the parameter search performed by HalvingGridSearchCV and GridSearchCV. We first define the parameter space for an SVC estimator, and compute the time required to train a Halv...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Label Propagation digits: Demonstrating perform...
This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets of very few labels. The handwritten digit dataset has 179...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Compare the effect of different scalers on data...
Feature 0 (median income in a block) and feature 5 (average house occupancy) of the California Housing dataset have very different scales and contain some very large outliers. These two characteris...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
SVM: Maximum margin separating hyperplane — sci...
Plot the maximum margin separating hyperplane within a two-class separable dataset using a Support Vector Machine classifier with linear kernel. Total running time of the script:(0 minutes 0.066 se...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html