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IBM open-sources its Granite AI models - and th...
using these LLMs to create tests and find and fix bugs. "Many...day -- from generating unit tests to writing documentation or...www.zdnet.com/article/ibm-open-sources-its-granite-ai-models-and-they-mean-business/ -
Partial Dependence and Individual Conditional E...
( f "Test R2 score: { mlp_model . score ( X_test , y_test ) :...f "Test R2 score: { hgbdt_model . score ( X_test , y_test ) :...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
Pipeline ANOVA SVM — scikit-learn 1.5.0 documen...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) print ( classification_report ( y_test , y_pred...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html -
Scalable learning with polynomial kernel approx...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , train_size = 5_000 , test_size = 10_000...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
6.3. Preprocessing data — scikit-learn 1.5.0 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
Effect of varying threshold for self-training —...
train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
validation_curve — scikit-learn 1.5.0 documenta...
print ( f "The average test accuracy is { test_scores . mean () :...curve. Determine training and test scores for varying parameter...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Probability Calibration for 3-class classificat...
y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_score = log_loss ( y_test , cal_clf_probs...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
LarsCV — scikit-learn 1.5.0 documentation
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
CategoricalNB — scikit-learn 1.5.0 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
7.2. Real world datasets — scikit-learn 1.5.0 d...
newsgroups_test = fetch_20newsgroups ( subset = 'test' , ... categories...vectors_test = vectorizer . transform ( newsgroups_test . data...scikit-learn.org/stable/datasets/real_world.html -
Gaussian processes on discrete data structures ...
) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
LogisticRegressionCV — scikit-learn 1.5.0 docum...
scoring option on the given test data and labels. Parameters...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
Isotonic Regression — scikit-learn 1.5.0 docume...
plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Successive Halving Iterations — scikit-learn 1....
The best candidate is the candidate that has the best score..."params_str" , values = "mean_test_score" ) ax = mean_scores ....scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
ExtraTreeRegressor — scikit-learn 1.5.0 documen...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.33... apply ( X , check_input...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
Glossary of Common Terms and API Elements — sci...
common tests # This refers to the tests run on almost...(train_idx, test_idx) pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/dev/glossary.html -
Understanding the decision tree structure — sci...
X_test , y_train , y_test = train_test_split ( X ,...decision_path ( X_test ) leaf_id = clf . apply ( X_test ) sample_id...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
Model Complexity Influence — scikit-learn 1.5.0...
X_test , y_train , y_test = train_test_split ( X ,...X_train , "X_test" : X_test , "y_train" : y_train , "y_test" : y_test...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html