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fetch_california_housing — scikit-learn 1.7.2 d...
feature_names [ 0 : 6 ]) ['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms',...target . shape ) (20640, 8) (20640,) >>> print ( housing . feature_names...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
fetch_file — scikit-learn 1.7.2 documentation
, sha256 = None , n_retries = 3 , delay = 1 ) [source] # Fetch...sklearn.datasets. fetch_file ( url , folder = None , local_filename = None ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.html -
jaccard_score — scikit-learn 1.7.2 documentation
y_true = np . array ([[ 0 , 1 , 1 ], ... [ 1 , 1 , 0 ]]) >>> y_pred...y_pred = np . array ([[ 1 , 1 , 1 ], ... [ 1 , 0 , 0 ]]) In the binary...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
DecisionBoundaryDisplay — scikit-learn 1.7.2 do...
max ()), ... np . linspace ( iris . data [:, 1 ] . min (), iris...iris . data [:, 1 ] . max ()) ... ) >>> grid = np . vstack ([ feature_1...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
mean_absolute_error — scikit-learn 1.7.2 docume...
= [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>..., 1 ], [ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
ARDRegression — scikit-learn 1.7.2 documentation
= 0.001 , alpha_1 = 1e-06 , alpha_2 = 1e-06 , lambda_1 = 1e-06...linear_model . ARDRegression () >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
SGDRegressor — scikit-learn 1.7.2 documentation
Guide . penalty {‘l2’, ‘l1’, ‘elasticnet’, None}, default=’l2’ The...penalty = 'l2' , alpha = 0.0001 , l1_ratio = 0.15 , fit_intercept...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
SGDOneClassSVM — scikit-learn 1.7.2 documentation
directly). ‘constant’: eta = eta0 ‘optimal’: eta = 1.0 / (alpha...by np.random . learning_rate {‘constant’, ‘optimal’, ‘invscaling’,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
RandomTreesEmbedding — scikit-learn 1.7.2 docum...
[[ 0 , 0 ], [ 1 , 0 ], [ 0 , 1 ], [ - 1 , 0 ], [ 0 , - 1 ]] >>>...3-42, 2006. [ 2 ] Moosmann, F. and Triggs, B. and Jurie, F. “Fast...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.2...
{‘svd’, ‘lsqr’, ‘eigen’}, default=’svd’ Solver to use, possible values:...solvers. Added in version 0.17. tol float, default=1.0e-4 Absolute...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...