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make_swiss_roll — scikit-learn 1.8.0 docu...
is from Marsland [1] . References [ 1 ] ( 1 , 2 ) S. Marsland,...from Stephen Marsland’s code [1] . Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
permutation_test_score — scikit-learn 1.8...
p-value is 1/(n_permutations + 1), the worst is 1.0. Notes This...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
Lars — scikit-learn 1.8.0 documentation
[ 1 , 1 ]], [ - 1.1111 , 0 , - 1.1111 ]) Lars(n_nonzero_coefs=1)...n_nonzero_coefs = 1 ) >>> reg . fit ([[ - 1 , 1 ], [ 0 , 0...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
zero_one_loss — scikit-learn 1.8.0 docume...
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...zero_one_loss >>> y_pred = [ 1 , 2 , 3 , 4 ] >>> y_true...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
fetch_covtype — scikit-learn 1.8.0 docume...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
LassoLars — scikit-learn 1.8.0 documentation
([[ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ]], [ - 1 , 0 , - 1 ]) LassoLars(alpha=0.01)...sklearn.linear_model. LassoLars ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
Nearest Neighbors regression — scikit-lea...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
MinMaxScaler — scikit-learn 1.8.0 documen...
data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ], [ 1 , 18 ]] >>>...0. ] [0.25 0.25] [0.5 0.5 ] [1. 1. ]] >>> print ( scaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
IsotonicRegression — scikit-learn 1.8.0 d...
1 , .2 ]) array([1.8628, 3.7256]) fit (...n_samples = 10 , n_features = 1 , random_state = 41 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
HistGradientBoostingRegressor — scikit-le...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html