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LeavePGroupsOut — scikit-learn 1.6.1 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index ] } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
precision_recall_fscore_support — scikit-learn ...
'f-score') , sample_weight = None...# Compute precision, recall, F-measure and support for each class....scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
Plotting Learning Curves and Checking Models’ S...
set_title ( f "Learning Curve for { estimator...[ 0 , ax_idx ] . set_title ( f "Scalability of the { estimator...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
Vector Quantization Example — scikit-learn 1.6....
face ( gray = True ) print ( f "The dimension of the image is...raccoon_face . shape } " ) print ( f "The data used to encode the image...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
SGD: convex loss functions — scikit-learn 1.6.1...
"Decision function $f(x)$" ) plt . ylabel ( "$L(y=1, f(x))$" ) plt ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
Ability of Gaussian process regression (GPR) to...
title ( ( f "Initial: { kernel } \n Optimum:...\n Log-Marginal-Likelihood: " f " { gpr . log_marginal_likelihood...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
9. Model persistence — scikit-learn 1.6.1 docum...
"wb" ) as f : f . write ( onx . SerializeToString..."filename.onnx" , "rb" ) as f : onx = f . read () sess = InferenceSession...scikit-learn.org/stable/model_persistence.html -
sklearn.feature_selection — scikit-learn 1.6.1 ...
f_classif Compute the ANOVA F-value for the provided...provided sample. f_regression Univariate linear regression tests...scikit-learn.org/stable/api/sklearn.feature_selection.html -
Lasso on dense and sparse data — scikit-learn 1...
y ) print ( f "Sparse Lasso done in { ( time...dense_lasso . fit ( X , y ) print ( f "Dense Lasso done in { ( time...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Effect of transforming the targets in regressio...
model_selection import train_test_split f , ( ax0 , ax1 ) = plt . subplots..."Transformed target distribution" ) f . suptitle ( "Synthetic data"...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html