lale.lib.autogen package¶
Submodules¶
- lale.lib.autogen.additive_chi2_sampler module
- lale.lib.autogen.ard_regression module
- lale.lib.autogen.bayesian_ridge module
- lale.lib.autogen.bernoulli_nb module
- lale.lib.autogen.bernoulli_rbm module
- lale.lib.autogen.binarizer module
- lale.lib.autogen.birch module
- lale.lib.autogen.calibrated_classifier_cv module
- lale.lib.autogen.cca module
- lale.lib.autogen.complement_nb module
- lale.lib.autogen.dictionary_learning module
- lale.lib.autogen.elastic_net module
- lale.lib.autogen.elastic_net_cv module
- lale.lib.autogen.factor_analysis module
- lale.lib.autogen.fast_ica module
- lale.lib.autogen.gaussian_process_classifier module
- lale.lib.autogen.gaussian_process_regressor module
- lale.lib.autogen.gaussian_random_projection module
- lale.lib.autogen.huber_regressor module
- lale.lib.autogen.incremental_pca module
- lale.lib.autogen.k_bins_discretizer module
- lale.lib.autogen.kernel_pca module
- lale.lib.autogen.kernel_ridge module
- lale.lib.autogen.label_binarizer module
- lale.lib.autogen.label_encoder module
- lale.lib.autogen.label_propagation module
- lale.lib.autogen.label_spreading module
- lale.lib.autogen.lars module
- lale.lib.autogen.lars_cv module
- lale.lib.autogen.lasso module
- lale.lib.autogen.lasso_cv module
- lale.lib.autogen.lasso_lars module
- lale.lib.autogen.lasso_lars_cv module
- lale.lib.autogen.lasso_lars_ic module
- lale.lib.autogen.latent_dirichlet_allocation module
- lale.lib.autogen.linear_discriminant_analysis module
- lale.lib.autogen.locally_linear_embedding module
- lale.lib.autogen.logistic_regression_cv module
- lale.lib.autogen.max_abs_scaler module
- lale.lib.autogen.mini_batch_dictionary_learning module
- lale.lib.autogen.mini_batch_k_means module
- lale.lib.autogen.mini_batch_sparse_pca module
- lale.lib.autogen.mlp_regressor module
- lale.lib.autogen.multi_label_binarizer module
- lale.lib.autogen.multi_task_elastic_net module
- lale.lib.autogen.multi_task_elastic_net_cv module
- lale.lib.autogen.multi_task_lasso module
- lale.lib.autogen.multi_task_lasso_cv module
- lale.lib.autogen.nearest_centroid module
- lale.lib.autogen.nu_svc module
- lale.lib.autogen.nu_svr module
- lale.lib.autogen.orthogonal_matching_pursuit module
- lale.lib.autogen.orthogonal_matching_pursuit_cv module
- lale.lib.autogen.passive_aggressive_regressor module
- lale.lib.autogen.perceptron module
- lale.lib.autogen.pls_canonical module
- lale.lib.autogen.pls_regression module
- lale.lib.autogen.plssvd module
- lale.lib.autogen.power_transformer module
- lale.lib.autogen.radius_neighbors_classifier module
- lale.lib.autogen.radius_neighbors_regressor module
- lale.lib.autogen.random_trees_embedding module
- lale.lib.autogen.ransac_regressor module
- lale.lib.autogen.rbf_sampler module
- lale.lib.autogen.ridge_classifier_cv module
- lale.lib.autogen.ridge_cv module
- lale.lib.autogen.skewed_chi2_sampler module
- lale.lib.autogen.sparse_pca module
- lale.lib.autogen.sparse_random_projection module
- lale.lib.autogen.theil_sen_regressor module
- lale.lib.autogen.transformed_target_regressor module
- lale.lib.autogen.truncated_svd module
Module contents¶
Lale autogen schemas
The JSON schemas of the operators defined in this module were automatically generated from the source code of 115 scikit-learn operators. The resulting schemas are all valid and usable to build Lale pipelines.
The following paper describes the schema extractor:
@InProceedings{baudart_et_al_2020,
title = "Mining Documentation to Extract Hyperparameter Schemas",
author = "Baudart, Guillaume and Kirchner, Peter and Hirzel, Martin and Kate, Kiran",
booktitle = "ICML Workshop on Automated Machine Learning (AutoML@ICML)",
year = 2020,
url = "https://arxiv.org/abs/2006.16984" }