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calibration
cluster
compose
covariance
cross_decomposition
PLSRegression - num+y-tr - default -
PLSRegression - b-reg - default -
PLSRegression - m-reg - default -
PLSRegression - ~b-reg-64 - default -
PLSRegression - ~m-reg-64 - default -
decomposition
discriminant_analysis
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feature_extraction
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gaussian_process
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isotonic
kernel_approximation
kernel_ridge
linear_model
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multioutput
naive_bayes
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preprocessing
random_projection
semi_supervised
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tree
Availability of scikit-learn model for runtime python_compiled
Availability of scikit-learn model for runtime onnxruntime1
cross_decomposition
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PLSRegression - num+y-tr - default -
PLSRegression - b-reg - default -
PLSRegression - m-reg - default -
PLSRegression - ~b-reg-64 - default -
PLSRegression - ~m-reg-64 - default -
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covariance
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PLSRegression - num+y-tr - default -