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grid_search_cross_validation.png
PixelInterleaved width=885, height=613, bitDepth=8, colorType=RGBAlpha, ...red=8, green=8, blue=8, alpha=8 RGB 8 8 8 8 613 1 1.0 1 8 8 8...scikit-learn.org/stable/_images/grid_search_cross_validation.png -
Perceptron — scikit-learn 1.5.2 documentation
fit_intercept = True , max_iter = 1000 , tol = 0.001 , shuffle = True...verbose = 0 , eta0 = 1.0 , n_jobs = None , random_state = 0 , early_stopping...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
MLPClassifier — scikit-learn 1.5.2 documentation
learning_rate_init = 0.001 , power_t = 0.5 , max_iter = 200 , shuffle = True...random_state = None , tol = 0.0001 , verbose = False , warm_start = False...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
make_checkerboard — scikit-learn 1.5.2 document...
noise = 0.0 , minval = 10 , maxval = 100 , shuffle = True ,...rows , columns = make_checkerboard ( shape = ( 300 , 300 ), n_clusters...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html -
Lasso on dense and sparse data — scikit-learn 1...
y = make_regression ( n_samples = 200 , n_features = 5000...coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha = alpha , fit_intercept...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Test with permutations the significance of a cl...
clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html -
scale — scikit-learn 1.5.2 documentation
axis = 0 , with_mean = True , with_std = True , copy = True )...and scale. axis {0, 1}, default=0 Axis used to compute the means...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
RobustScaler — scikit-learn 1.5.2 documentation
with_centering = True , with_scaling = True , quantile_range = (25.0,...(25.0, 75.0) , copy = True , unit_variance = False ) [source] # Scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
1.13. Feature selection — scikit-learn 1.5.2 do...
>>> lsvc = LinearSVC ( C = 0.01 , penalty = "l1" , dual = False...model = SelectFromModel ( lsvc , prefit = True ) >>> X_new = model...scikit-learn.org/stable/modules/feature_selection.html -
Custom refit strategy of a grid search with cro...
- 1 )) y = digits . target == 8 print ( f "The number...SVC(C=1000, gamma=0.001) SVC ? Documentation for SVC SVC(C=1000,...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
