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SGD: Maximum margin separating hyperplane — sci...
linspace ( - 1 , 5 , 10 ) yy = np . linspace ( - 1 , 5 , 10 ) X1...= p [ 0 ] levels = [ - 1.0 , 0.0 , 1.0 ] linestyles = [ "dashed"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
Troubleshooting | APM Android Agent Reference [...
« How-tos Release notes » Elastic Docs › APM: Android Agent Reference APM Observability › APM APM agents Android Agen...www.elastic.co/guide/en/apm/agent/android/current/troubleshooting.html -
sklearn.decomposition — scikit-learn 1.7.2 docu...
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.html -
sklearn.calibration — scikit-learn 1.7.2 docume...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/stable/api/sklearn.calibration.html -
sklearn.cluster — scikit-learn 1.7.2 documentation
Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.scikit-learn.org/stable/api/sklearn.cluster.html -
Gaussian Mixture Models — scikit-learn 1.7.2 do...
Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...scikit-learn.org/stable/auto_examples/mixture/index.html -
Ordinary Least Squares and Ridge Regression — s...
1 ] . T y_train = [ 0.5 , 1 ] X_test = np . c_...this_X = 0.1 * np . random . normal ( size = ( 2 , 1 )) + X_train...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
d2_log_loss_score — scikit-learn 1.7.2 document...
Best possible score is 1.0 and it can be negative (because...User Guide . Added in version 1.5. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
cohen_kappa_score — scikit-learn 1.7.2 document...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
StackingRegressor — scikit-learn 1.7.2 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html