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calibration
cluster
KMeans - ~num-tr-clu - default -
KMeans - ~num-tr-clu-64 - default -
KMeans - cluster - default -
KMeans - ~b-clu-64 - default -
MiniBatchKMeans - ~num-tr-clu - default -
MiniBatchKMeans - ~num-tr-clu-64 - default -
MiniBatchKMeans - cluster - default -
MiniBatchKMeans - ~b-clu-64 - default -
compose
covariance
cross_decomposition
decomposition
discriminant_analysis
ensemble
feature_extraction
feature_selection
gaussian_process
impute
isotonic
kernel_approximation
kernel_ridge
linear_model
mixture
mlprodict.onnx_conv
model_selection
multiclass
multioutput
naive_bayes
neighbors
neural_network
preprocessing
random_projection
semi_supervised
svm
tree
Availability of scikit-learn model for runtime python_compiled
Availability of scikit-learn model for runtime onnxruntime1
cluster
#
KMeans - ~num-tr-clu - default -
KMeans - ~num-tr-clu-64 - default -
KMeans - cluster - default -
KMeans - ~b-clu-64 - default -
MiniBatchKMeans - ~num-tr-clu - default -
MiniBatchKMeans - ~num-tr-clu-64 - default -
MiniBatchKMeans - cluster - default -
MiniBatchKMeans - ~b-clu-64 - default -
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CalibratedClassifierCV - m-cl - default -
next
KMeans - ~num-tr-clu - default -