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Ordinary Least Squares and Ridge Regression ...
[ 2 ]] # Use only one feature X_train...ax = plt . subplots ( ncols = 2 , figsize = ( 10 , 5 ), sharex...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
KNeighborsTransformer — scikit-learn 1.8....
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
make_classification — scikit-learn 1.8.0 ...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
Outlier detection with Local Outlier Factor (LO...
2 ) X_inliers = np . r_ [ X_inliers + 2 , X_inliers...relative to this cluster, and 2) smaller than the maximum number...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
dcg_score — scikit-learn 1.8.0 documentation
log_base = 2 , sample_weight = None , ignore_ties...outputs. log_base float, default=2 Base of the logarithm used for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
v_measure_score — scikit-learn 1.8.0 docu...
2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
Model Complexity Influence — scikit-learn...
"n_iter_no_change" : 2 , }, "changing_param"..."C" : 1e3 , "gamma" : 2 **- 15 }, "changing_param"...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
Bunch — scikit-learn 1.8.0 documentation
b = 2 ) >>> b [ 'b' ] 2 >>>...>>> b . b 2 >>> b . a = 3 >>> b [ 'a'...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
dict_learning_online — scikit-learn 1.8.0...
X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...dict_learning_online ( X , n_components = 2 , * , alpha = 1 , max_iter = 100...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
mean_poisson_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....2. ] >>> mean_poisson_deviance ( y_true , y_pred ) 1.4260......scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html