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DistanceMetric — scikit-learn 1.8.0 documentation
HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> Y...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
PLSSVD — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], ... [ 2. , 5. , 4. ]]) >>>...([[ 0.1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
mean_variance_axis — scikit-learn 1.8.0 d...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
sort_graph_by_row_values — scikit-learn 1.8.0 d...
2. ], ... [ 1. , 2. , 0. ]]) >>> X . data...data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort_graph_by_row_values...scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html -
Image denoising using dictionary learning — sci...
2 , 2 ) difference = image - reference...Pursuit \n 2 atoms" , "omp" , { "transform_n_nonzero_coefs" : 2 }),...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
RegressorChain — scikit-learn 1.8.0 documentation
2 ], [ 1 , 1 ], [ 2 , 0 ]] >>> chain = RegressorChain...predict ( X ) array([[0., 2.], [1., 1.], [2., 0.]]) fit ( X , Y ,...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
inplace_column_scale — scikit-learn 1.8.0...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
Cluster analysis in R - IBM Developer
diag( 2 ) * c( 2 , 1 ))) %>% mutate( class...diag( 2 ) * c( 1 , 3 ))) %>% mutate( class =factor( 2 )) cluster3...developer.ibm.com/tutorials/awb-cluster-analysis-in-r/ -
Comparison of kernel ridge and Gaussian process...
period of this sine is thus \(2 \pi\) . We will reuse this information...= "True signal" , linewidth = 2 ) plt . scatter ( training_data...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html