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MultiTaskLassoCV — scikit-learn 1.8.0 doc...
it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]]) . T >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
make_hastie_10_2 — scikit-learn 1.8.0 doc...
2. The ten features are standard...= 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 -
StratifiedKFold — scikit-learn 1.8.0 docu...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits () 2 >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
IBM Cloud Pak for Applications - IBM Developer
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PyTorch - IBM Developer
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Curve Fitting with Bayesian Ridge Regression &#...
sin ( 2 * np . pi * x ) size = 25 rng..., axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) for i ,...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
LabelBinarizer — scikit-learn 1.8.0 docum...
2 , 6 , 4 , 2 ]) LabelBinarizer() >>>...array([0, 1, 2]) >>> lb . transform ([ 0 , 1 , 2 , 1 ]) array([[1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
Serverless - IBM Developer
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plot_multi_metric_evaluation.py
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
check_array — scikit-learn 1.8.0 document...
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html