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make_hastie_10_2 — scikit-learn 1.8.0 documenta...
float64(-1.0), np.float64(1.0), np.float64(-1.0), np.float64(1.0),...[ i ] = 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
fetch_kddcup99 — scikit-learn 1.8.0 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the kddcup99...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_kddcup99.html -
RationalQuadratic — scikit-learn 1.8.0 document...
array([[0.8881, 0.0566, 0.05518], [0.8678, 0.0707 , 0.0614]]) __call__...length_scale = 1.0 , alpha = 1.0 , length_scale_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
dict_learning_online — scikit-learn 1.8.0 docum...
method_max_iter = 1000 , tol = 0.001 , max_no_improvement = 10 ) [source]...dictionary, set tol to 0.0. Added in version 1.1. max_no_improvement...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
load_breast_cancer — scikit-learn 1.8.0 documen...
target [[ 10 , 50 , 85 ]] array([0, 1, 0]) >>> list ( data...target object. Added in version 0.18. as_frame bool, default=False...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
make_checkerboard — scikit-learn 1.8.0 document...
noise = 0.0 , minval = 10 , maxval = 100 , shuffle = True...clusters. noise float, default=0.0 The standard deviation of the...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html -
load_linnerud — scikit-learn 1.8.0 documentation
Added in version 0.18. as_frame bool, default=False...described below. Added in version 0.23. Returns : data Bunch Dictionary-like...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html -
make_friedman1 — scikit-learn 1.8.0 documentation
n_samples = 100 , n_features = 10 , * , noise = 0.0 , random_state...formula: y ( X ) = 10 * sin ( pi * X [:, 0 ] * X [:, 1 ]) + 20 * ( X...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
EfficiencyWarning — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.exceptions.EfficiencyWarning.html -
RFE — scikit-learn 1.8.0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function...each iteration. If within (0.0, 1.0), then step corresponds to...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html