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Introducing the set_output API — scikit-learn 1...
transform ( X_test ) print ( f "Default output type: { type (...transform ( X_test ) print ( f "Configured pandas output type:...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Comparing Target Encoder with Other Encoders — ...
std = f "rmse_ { subset } _mean" , f "rmse_ { subset...index ], ) ax . set ( title = f "RMSE ( { subset . title () }...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
The Johnson-Lindenstrauss bound for embedding w...
legend ([ f "eps = { eps : 0.1f } " for eps...color = color ) plt . legend ([ f "n_samples = { n } " for n in...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Permutation Importance vs Random Forest Feature...
print ( f "RF train accuracy: { rf . score...y_train ) : .3f } " ) print ( f "RF test accuracy: { rf . score...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Ordinary Least Squares Example — scikit-learn 1...
predict ( X_test ) print ( f "Mean squared error: { mean_squared_error...y_pred ) : .2f } " ) print ( f "Coefficient of determination:...scikit-learn.org/stable/auto_examples/linear_model/plot_ols.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 -
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 -
SGD: convex loss functions — scikit-learn 1.7.0...
"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