- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1101 - 1110 of over 10,000 for * (6.32 seconds)
Filter
-
TfidfTransformer — scikit-learn 1.8.0 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
LocallyLinearEmbedding — scikit-learn 1.8.0 doc...
reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
SelectPercentile — scikit-learn 1.8.0 documenta...
Added in version 0.18. percentile int, default=10 Percent of features...all strings. Added in version 1.0. See also f_classif ANOVA F-value...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
VarianceThreshold — scikit-learn 1.8.0 document...
X = [[ 0 , 2 , 0 , 3 ], [ 0 , 1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]]...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html -
SkewedChi2Sampler — scikit-learn 1.8.0 document...
[[ 0 , 0 ], [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0...( * , skewedness = 1.0 , n_components = 100 , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
trustworthiness — scikit-learn 1.8.0 documentation
trustworthiness is within [0, 1]. It is defined as \[T(k) = 1 - \frac{2}{nk...trustworthiness to lies within [0, 1], as mentioned in [1] . An error will be...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
img_to_graph — scikit-learn 1.8.0 documentation
array([[0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 1], [0, 1, 1, 1]]) On...>>> img = np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph (...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
TSNE — scikit-learn 1.8.0 documentation
([[ 0 , 0 , 0 ], [ 0 , 1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]])...is usually in the range [10.0, 1000.0]. If the learning rate is...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
mean_gamma_deviance — scikit-learn 1.8.0 docume...
0.5 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....point value (the best value is 0.0). Examples >>> from sklearn.metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
hinge_loss — scikit-learn 1.8.0 documentation
hinge_loss >>> X = [[ 0 ], [ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm...hinge_loss ([ - 1 , 1 , 1 ], pred_decision ) 0.30 In the multiclass...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html