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SVC — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
MultiLabelBinarizer — scikit-learn 1.8.0 docume...
fit_transform ([( 1 , 2 ), ( 3 ,)]) array([[1, 1, 0], [0, 0, 1]]) >>> mlb...{ 'comedy' }]) array([[0, 1, 1], [1, 0, 0]]) >>> list ( mlb ....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
Successive Halving Iterations — scikit-learn 1....
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
FeatureAgglomeration — scikit-learn 1.8.0 docum...
version 1.0. children_ array-like of shape (n_nodes-1, 2) The...fit method. Added in version 1.2. memory str or object with the...scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
MeanShift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ....scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
min_pos — scikit-learn 1.8.0 documentation
- 1 , 2 , 3 , - 4 , 5 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
Binarizer — scikit-learn 1.8.0 documentation
( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
balanced_accuracy_score — scikit-learn 1.8.0 do...
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
ARDRegression — scikit-learn 1.8.0 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) Comparing Linear Bayesian...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
KNNImputer — scikit-learn 1.8.0 documentation
1-D arrays) of X and Y , respectively....is always 0 . Added in version 1.2. Attributes : indicator_ MissingIndicator...scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html