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Semi-supervised Classification on a Text Datase...
"comp.graphics" , "comp.os.ms-windows.misc" , "comp.sys.ibm.pc.hardware"...vectorizer_params )), ( "tfidf" , TfidfTransformer ()), ( "clf" , SGDClassifier...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
10. Model persistence — scikit-learn 1.7.1 docu...
target_opset = 12 ) with open ( "filename.onnx" , "wb" ) as f : f . write...open ( "filename.onnx" , "rb" ) as f : onx = f . read () sess...scikit-learn.org/stable/model_persistence.html -
7.9. Transforming the prediction target (y) — s...
) array([[0, 0, 1, 1, 1], [0, 0, 1, 0, 0], [1, 1, 0, 1, 0], [1,...transform ([ 1 , 6 ]) array([[1, 0, 0, 0], [0, 0, 0, 1]]) Using this...scikit-learn.org/stable/modules/preprocessing_targets.html -
Comparison of kernel ridge and Gaussian process...
regression" ) plt . legend () plt . xlabel ( "data" ) plt . ylabel ( "target"...- 1 , 1 ) target = np . sin ( data ) . ravel () Now, we can imagine...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Understanding the decision tree structure — sci...
node id (0) and its depth (0) while len ( stack ) > 0 : # `pop`...= n_nodes , dtype = bool ) stack = [( 0 , 0 )] # start with the...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
Illustration of prior and posterior Gaussian pr...
rng . uniform ( 0 , 5 , 10 ) . reshape ( - 1 , 1 ) y_train =..."black" , label = r "$\pm$ 1 std. dev." , ) ax . set_xlabel ( "x"...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Sparse inverse covariance estimation — scikit-l...
. RdBu_r ) plt . xticks (()) plt . yticks (()) plt . title (..."Empirical" , linalg . inv ( emp_cov )), ( "Ledoit-Wolf" , lw_prec_...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Receiver Operating Characteristic (ROC) with cr...
2f $\pm$ %0.2f )" % ( mean_auc , std_auc ), lw = 2 , alpha = 0.8...mean_fpr = np . linspace ( 0 , 1 , 100 ) interp_tprs = [] _ , ax = plt...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Regularization path of L1- Logistic Regression ...
l1_min_c ( X , y , loss = "log" ) * np . logspace ( 0 , 1 , 16 )..."#785EF0" , "#DC267F" , "#FE6100" ] plt . figure ( figsize = ( 10...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
Two-class AdaBoost — scikit-learn 1.7.1 documen...
concatenate (( X1 , X2 )) y = np . concatenate (( y1 , - y2 + 1 )) # Create...edgecolor = "k" , ) x1 , x2 , y1 , y2 = plt . axis () plt . axis (( x1...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html