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type_of_target — scikit-learn 1.8.0 docum...
‘binary’: y contains <= 2 discrete values and is 1d or a...least two columns, and at most 2 unique values. ‘unknown’: y is...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
PredefinedSplit — scikit-learn 1.8.0 docu...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...index=[1 2 3] Test: index=[0] Fold 1: Train: index=[0 2] Test:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
NotFittedError — scikit-learn 1.8.0 docum...
2 ], [ 2 , 3 ], [ 3 , 4 ]]) ... except...scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
Multi-dimensional scaling — scikit-learn ...
X_true ** 2 ) . sum ()) / np . sqrt (( X_nmds ** 2 ) . sum ())...X_true = rng . randint ( 0 , 20 , 2 * n_samples ) . astype ( float...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Monotonic Constraints — scikit-learn 1.8....
2 Added support for feature names....versionadded:: 0.23 .. versionchanged:: 1.2 Accept dict of constraints with...scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html -
Iso-probability lines for Gaussian Processes cl...
0256**2 * DotProduct(sigma_0=5.72) ** 2 # Authors: The...[:, 1 ] - 0.5 * x [:, 0 ] ** 2.0 # Design of experiments X =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
safe_mask — scikit-learn 1.8.0 documentation
[ 2 ], [ 3 ], [ 4 ], [ 5 ]]) >>>...[ mask ] . toarray () array([[2], [3], [5]]) On this page This...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
Model-based and sequential feature selection &#...
2 area (worst): 185.2 4254.0 smoothness (worst):...Since we want to select only 2 features, we will set this threshold...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
PLSCanonical — scikit-learn 1.8.0 documen...
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
DecisionTreeRegressor — scikit-learn 1.8....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html