- Sort Score
- Num 10 results
- Language All
- Labels All
Results 161 - 170 of over 10,000 for 1 (0.1 seconds)
-
Probability Calibration curves — scikit-l...
1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...calibrated_df , 0 , 1 ) proba_neg_class = 1 - proba_pos_class proba...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
completeness_score — scikit-learn 1.8.0 d...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Non-perfect labelings...completeness_score ([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 0 , 1 ])) 0.0 >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
brier_score_loss — scikit-learn 1.8.0 doc...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...defined as: \[\frac{1}{N}\sum_{i=1}^{N}\sum_{c=1}^{C}(y_{ic} - \hat{p}_{ic})^{2}\]...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
sparse_encode — scikit-learn 1.8.0 docume...
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html -
Compare BIRCH and MiniBatchKMeans — sciki...
threshold = 1.7 , n_clusters = None ), Birch ( threshold = 1.7 , n_clusters...= fig . add_subplot ( 1 , 3 , ind + 1 ) for this_centroid , k...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
ApiVersionConfigurer (Spring Framework 7.0.1 API)
" index 1. useVersionResolver public ...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/servlet/config/a... -
polynomial_kernel — scikit-learn 1.8.0 do...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0..., degree = 2 ) array([[1. , 1. ], [1.77, 2.77]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html -
LabelBinarizer — scikit-learn 1.8.0 docum...
array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y )...fit ( np . array ([[ 0 , 1 , 1 ], [ 1 , 0 , 0 ]])) LabelBinarizer()...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
paired_manhattan_distances — scikit-learn...
array ([[ 1 , 1 , 0 ], [ 0 , 1 , 0 ], [ 0 , 0 , 1 ]]) >>>...calculated between (X[0], Y[0]), (X[1], Y[1]), …, (X[n_samples], Y[n_samples])....scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_manhattan_distances.html -
matthews_corrcoef — scikit-learn 1.8.0 do...
= [ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , - 1...value between -1 and +1. A coefficient of +1 represents a perfect...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html