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Plot classification probability — scikit-learn ...
y_pred ) print ( f "Accuracy (train) for { name }...classifier_idx , label ] . set_title ( f "Class { label } " ) # plot data...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Color Quantization using K-Means — scikit-learn...
image_array_sample ) print ( f "done in { time () - t0 : 0.3f...predict ( image_array ) print ( f "done in { time () - t0 : 0.3f...scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html -
Java - String | DBFlute
jflute [0] j [1] f [2] l [3] u [4] t [5] e [6] 例えば、1...name = "jflute" ; // [0] j [1] f [2] l [3] u [4] t [5] e [6] String...dbflute.seasar.org/ja/manual/topic/programming/java/string.html -
Partial Dependence and Individual Conditional E...
print ( f "done in { time () - tic : .3f } s" ) print ( f "Test...print ( f "done in { time () - tic : .3f } s" ) print ( f "Test...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.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 -
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 -
Single estimator versus bagging: bias-variance ...
f ( X_test ), "b" , label = "$f(x)$" ) plt . plot...estimators ) # Generate data def f ( x ): x = x . ravel () return...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.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 -
sklearn.feature_selection — scikit-learn 1.5.2 ...
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