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SVM with custom kernel — scikit-learn 1.8.0 doc...
: 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
MeanShift — scikit-learn 1.8.0 documentation
complexity will tend towards O(T*n^2). Scalability can be boosted by...X = np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
check_array — scikit-learn 1.8.0 documentation
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
HDBSCAN — scikit-learn 1.8.0 documentation
inf) are given the label -2. Samples with missing data are...clusters. That is to say, the -1, -2, -3 labels for the outlier clusters...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
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FeatureHasher and DictVectorizer Comparison — s...
'is': 2, 'one': 2, 'example': 1, 'but': 1,...FeatureHasher is 2**20. Here we set n_features = 2**18 to illustrate...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
safe_sqr — scikit-learn 1.8.0 documentation
Returns : X ** 2 element wise square Return the...>>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html -
LinearSVR — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...(n_features) if n_classes == 2 else (n_classes, n_features) Weights...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
Permutation Importance with Multicollinear or C...
n_jobs = 2 ) perm_sorted_idx = result . importances_mean...score ( X_test , y_test ) : .2 } " ) Baseline accuracy on test...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html -
Feature discretization — scikit-learn 1.8.0 doc...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...GradientBoostingClas: 0.84 SVC: 0.84 dataset 2 --------- LogisticRegression:...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html