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murmurhash3_32 — scikit-learn 1.8.0 docum...
to a signed int from -(2 ** 31) to 2 ** 31 - 1 Examples >>>...to an unsigned int from 0 to 2 ** 32 - 1 False: the results is...scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html -
Lars — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
ARIMA models in Python
987 Model: SARIMAX(2, 1, 1)x(2, 0, [1, 2], 12) Log Likelihood...the model is SARIMAX(2, 1, 1)x(2, 0, [1, 2], 12) , which means...developer.ibm.com/tutorials/awb-arima-models-in-python/ -
mutual_info_regression — scikit-learn 1.8...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
NearestCentroid — scikit-learn 1.8.0 docu...
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
root_mean_squared_error — scikit-learn 1....
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
LocallyLinearEmbedding — scikit-learn 1.8...
(n_components + 1) / 2 . see reference [2] modified : use the...n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver =...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
Classifier comparison — scikit-learn 1.8....
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
brier_score_loss — scikit-learn 1.8.0 doc...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.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