- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 821 - 830 of 2,291 for 2 (0.07 sec)
-
LassoLars — scikit-learn 1.7.0 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
CountVectorizer — scikit-learn 1.7.0 documentation
2) means unigrams and bigrams, and (2, 2) means only...= 'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2 . fit_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
Single estimator versus bagging: bias-variance ...
- ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f} (var) +...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
make_gaussian_quantiles — scikit-learn 1.7.0 do...
int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)] Gallery...n_samples = 100 , n_features = 2 , n_classes = 3 , shuffle = True...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
make_friedman2 — scikit-learn 1.7.0 documentation
0 ] ** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1...[source] # Generate the “Friedman #2” regression problem. This dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
compute_optics_graph — scikit-learn 1.7.0 docum...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). max_eps float, default=np.inf...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
plot_classifier_comparison.zip
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
KNeighborsTransformer — scikit-learn 1.7.0 docu...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
Selecting dimensionality reduction with Pipelin...
] ) N_FEATURES_OPTIONS = [ 2 , 4 , 8 ] C_OPTIONS = [ 1 , 10...'reduce_dim__n_components': [2, 4, 8]}, {'classify__C': [1, 10,...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html -
OrthogonalMatchingPursuit — scikit-learn 1.7.0 ...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html