Index A | B | C | D | F | G | H | I | L | M | N | O | P | S | T | V A algo_dict (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) algo_index (hana_automl.optimizers.bayes.BayesianOptimizer attribute) algo_list (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) AutoML (class in hana_automl.automl) AutoMLError B BaseOptimizer (class in hana_automl.optimizers.base_optimizer) BayesianOptimizer (class in hana_automl.optimizers.bayes) best_params() (hana_automl.automl.AutoML property) BlendingError C categorical_features (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) child_objective() (hana_automl.optimizers.bayes.BayesianOptimizer method) clean_up() (hana_automl.storage.Storage method) clear() (hana_automl.pipeline.data.Data method) connection_context (hana_automl.automl.AutoML attribute) (hana_automl.pipeline.input.Input attribute) (hana_automl.storage.Storage attribute) D Data (class in hana_automl.pipeline.data) data (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) (hana_automl.pipeline.pipeline.Pipeline attribute) delete_leaderboard() (hana_automl.storage.Storage method) delete_model() (hana_automl.storage.Storage method) delete_models() (hana_automl.storage.Storage method) df (hana_automl.pipeline.input.Input attribute) download_data() (hana_automl.pipeline.input.Input static method) drop() (hana_automl.pipeline.data.Data method) droplist_columns (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) F file_path (hana_automl.pipeline.input.Input attribute) fit() (hana_automl.automl.AutoML method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) G get_algorithm() (hana_automl.automl.AutoML method) (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) get_leaderboard() (hana_automl.automl.AutoML method) get_model() (hana_automl.automl.AutoML method) (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) get_preprocessor_settings() (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) get_tuned_params() (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) H hana_automl.utils.error module hana_df (hana_automl.pipeline.input.Input attribute) I id_col (hana_automl.pipeline.input.Input attribute) id_colm (hana_automl.pipeline.data.Data attribute) inner_data (hana_automl.optimizers.bayes.BayesianOptimizer attribute) Input (class in hana_automl.pipeline.input) InputError iter (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) (hana_automl.pipeline.pipeline.Pipeline attribute) L list_preprocessors() (hana_automl.storage.Storage method) load_data() (hana_automl.pipeline.input.Input method) load_leaderboard() (hana_automl.storage.Storage method) load_model() (hana_automl.storage.Storage method) M model (hana_automl.automl.AutoML attribute) (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) model_to_file() (hana_automl.automl.AutoML method) ModelBoard (class in hana_automl.pipeline.modelres) module hana_automl.utils.error N num_strategy (hana_automl.preprocess.settings.PreprocessorSettings attribute) O objective() (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) opt (hana_automl.automl.AutoML attribute) (hana_automl.pipeline.pipeline.Pipeline attribute) optimizer() (hana_automl.automl.AutoML property) OptimizerError OptunaOptimizer (class in hana_automl.optimizers.optuna_optimizer) P Pipeline (class in hana_automl.pipeline.pipeline) PipelineError predict() (hana_automl.automl.AutoML method) predicted (hana_automl.automl.AutoML attribute) PreprocessError Preprocessor (class in hana_automl.preprocess.preprocessor) preprocessor_settings (hana_automl.automl.AutoML attribute) PreprocessorSettings (class in hana_automl.preprocess.settings) prepset (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) print_leaderboard() (hana_automl.automl.AutoML method) problem (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) S save_leaderboard() (hana_automl.storage.Storage method) save_model() (hana_automl.storage.Storage method) save_results_as_csv() (hana_automl.automl.AutoML method) save_stats_as_csv() (hana_automl.automl.AutoML method) schema (hana_automl.storage.Storage attribute) score() (hana_automl.automl.AutoML method) sort_leaderboard() (hana_automl.automl.AutoML method) split_data() (hana_automl.pipeline.input.Input method) Storage (class in hana_automl.storage) StorageError T table_name (hana_automl.pipeline.input.Input attribute) target (hana_automl.pipeline.input.Input attribute) test (hana_automl.pipeline.data.Data attribute) time_limit (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.pipeline.pipeline.Pipeline attribute) train (hana_automl.pipeline.data.Data attribute) train() (hana_automl.pipeline.pipeline.Pipeline method) tune() (hana_automl.optimizers.base_optimizer.BaseOptimizer method) (hana_automl.optimizers.bayes.BayesianOptimizer method) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer method) tuned_params (hana_automl.optimizers.bayes.BayesianOptimizer attribute) (hana_automl.optimizers.optuna_optimizer.OptunaOptimizer attribute) V valid (hana_automl.pipeline.data.Data attribute) verbose (hana_automl.pipeline.input.Input attribute) (hana_automl.pipeline.pipeline.Pipeline attribute)