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7. Dataset transformations — scikit-learn 1.7.1...
Kernels 7.8.1. Cosine similarity 7.8.2. Linear kernel 7.8.3. Polynomial...estimators 7.1.1. Pipeline: chaining estimators 7.1.2. Transforming...scikit-learn.org/stable/data_transforms.html -
Decision Tree Regression with AdaBoost — scikit...
X ) . ravel () + rng . normal ( 0 , 0.1 , X . shape [ 0 ]) Training...random . RandomState ( 1 ) X = np . linspace ( 0 , 6 , 100 )[:, np...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
Gradient Boosting regularization — scikit-learn...
"learning_rate" : 0.2 , "subsample" : 1.0 }), ( "subsample=0.5" , "blue"..."subsample" : 1.0 }), ( "learning_rate=0.2" , "turquoise" , { "learning_rate"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Robust vs Empirical covariance estimate — sciki...
, n_samples / 2 , 5 )[ 1 : - 1 ], ) ) . astype ( int ) # definition...EmpiricalCovariance () . fit ( X ) . error_norm ( np . eye ( n_features )) ) #...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html -
Compare cross decomposition methods — scikit-le...
Corr(X) [[ 1. 0.45 -0.04 0. ] [ 0.45 1. -0.1 -0.02] [-0.04 -0.1...-0.05] [ 0.48 1. 0.07 0.04] [-0.12 0.07 1. 0.5 ] [-0.05 0.04 0.5 1....scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Plot the decision surface of decision trees tra...
enumerate ([[ 0 , 1 ], [ 0 , 2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ],...plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout ( h_pad...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
Lagged features for time series forecasting — s...
181.387599 "min" 1.0 0.0 0.82 0.0 0.0 0.0 1.0 "25%" 4.0 6.0 13.94...17379.0 "null_count" 0.0 0.0 0.0 0.0 0.0 0.0 0.0 "mean" 6.537775...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Wikipedia principal eigenvector — scikit-learn ...
== 0 : print ( "[ %s ] line: %08d " % ( datetime . now () . isoformat...disk # redirects_url = "http://downloads.dbpedia.org/3.5.1/en/...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
GraphicalLasso — scikit-learn 1.7.1 documentation
], ... [ 0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7...array ([[ 0.8 , 0.0 , 0.2 , 0.0 ], ... [ 0.0 , 0.4 , 0.0 , 0.0 ],...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
PLSSVD — scikit-learn 1.7.1 documentation
([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. , 2. , 2....0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [ 11.9 , 12.3 ]])...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html