@gracexwho/model-card-generator
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Tool for generating model cards for Jupyter Notebook.
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{
"sklearn": {
"modules": {
"cluster": {
"functions": [{ "name": "KMeans", "returns": "KMeans" }],
"types": {
"KMeans": {
"methods": [
{ "name": "fit", "updates": [0] },
{ "name": "fit_predict", "updates": [0] },
{ "name": "fit_transform", "updates": [0] },
"predict",
"score",
"transform"
]
}
}
},
"datasets": {
"functions": [
"clear_data_home",
"dump_svmlight_file",
"fetch_20newsgroups",
"fetch_20newsgroups_vectorized",
"fetch_lfw_pairs",
"fetch_lfw_people",
"fetch_mldata",
"fetch_olivetti_faces",
"fetch_species_distributions",
"fetch_california_housing",
"fetch_covtype",
"fetch_rcv1",
"fetch_kddcup99",
"fetch_openml",
"get_data_home",
"load_boston",
"load_diabetes",
"load_digits",
"load_files",
"load_iris",
"load_breast_cancer",
"load_linnerud",
"load_mlcomp",
"load_sample_image",
"load_sample_images",
"load_svmlight_file",
"load_svmlight_files",
"load_wine",
"make_biclusters",
"make_blobs",
"make_circles",
"make_classification",
"make_checkerboard",
"make_friedman1",
"make_friedman2",
"make_friedman3",
"make_gaussian_quantiles",
"make_hastie_10_2",
"make_low_rank_matrix",
"make_moons",
"make_multilabel_classification",
"make_regression",
"make_s_curve",
"make_sparse_coded_signal",
"make_sparse_spd_matrix",
"make_sparse_uncorrelated",
"make_spd_matrix",
"make_swiss_roll",
"mldata_filename"
]
}
}
}
}