"""
This module is auto generated by azure-ml-component.

Assets included:
    - file:../../../../../local_components/mpi/component.yaml
    - file:../../../../../local_components/copy_files/component.yaml
    - file:../../../../../local_components/hdi-component/component_spec.yaml
    - file:../../../../../local_components/scope_component/toss/component_spec.yaml
    - file:../../../../../local_components/sweep_component/sweep.spec.yaml
    - azureml://feeds/azureml
    - azureml://feeds/huggingface
"""
# THIS IS AN AUTO GENERATED FILE.
# PLEASE DO NOT MODIFY MANUALLY.
from ._assets import (
    microsoft_com_azureml_samples_hello_world_with_cpu_image,
    microsoft_com_azureml_samples_parallel_copy_files_v1,
    microsoft_com_azureml_samples_train_in_spark,
    bing_relevance_convert2ss,
    microsoft_com_azureml_samples_tune,
    azureml_add_columns,
    azureml_add_rows,
    azureml_apply_image_transformation,
    azureml_apply_math_operation,
    azureml_apply_sql_transformation,
    azureml_apply_transformation,
    azureml_assign_data_to_clusters,
    azureml_boosted_decision_tree_regression,
    azureml_clean_missing_data,
    azureml_clip_values,
    azureml_convert_word_to_vector,
    azureml_convert_to_csv,
    azureml_convert_to_dataset,
    azureml_convert_to_image_directory,
    azureml_convert_to_indicator_values,
    azureml_create_python_model,
    azureml_cross_validate_model,
    azureml_decision_forest_regression,
    azureml_densenet,
    azureml_edit_metadata,
    azureml_enter_data_manually,
    azureml_evaluate_model,
    azureml_evaluate_recommender,
    azureml_execute_python_script,
    azureml_execute_r_script,
    azureml_export_data,
    azureml_extract_n_gram_features_from_text,
    azureml_fast_forest_quantile_regression,
    azureml_feature_hashing,
    azureml_filter_based_feature_selection,
    azureml_group_data_into_bins,
    azureml_import_data,
    azureml_init_image_transformation,
    azureml_join_data,
    azureml_k_means_clustering,
    azureml_latent_dirichlet_allocation,
    azureml_linear_regression,
    azureml_multiclass_boosted_decision_tree,
    azureml_multiclass_decision_forest,
    azureml_multiclass_logistic_regression,
    azureml_multiclass_neural_network,
    azureml_neural_network_regression,
    azureml_normalize_data,
    azureml_one_vs_all_multiclass,
    azureml_one_vs_one_multiclass,
    azureml_pca_based_anomaly_detection,
    azureml_partition_and_sample,
    azureml_permutation_feature_importance,
    azureml_poisson_regression,
    azureml_preprocess_text,
    azureml_remove_duplicate_rows,
    azureml_resnet,
    azureml_smote,
    azureml_score_image_model,
    azureml_score_model,
    azureml_score_svd_recommender,
    azureml_score_vowpal_wabbit_model,
    azureml_score_wide_and_deep_recommender,
    azureml_select_columns_transform,
    azureml_select_columns_in_dataset,
    azureml_split_data,
    azureml_split_image_directory,
    azureml_summarize_data,
    azureml_train_anomaly_detection_model,
    azureml_train_clustering_model,
    azureml_train_model,
    azureml_train_pytorch_model,
    azureml_train_svd_recommender,
    azureml_train_vowpal_wabbit_model,
    azureml_train_wide_and_deep_recommender,
    azureml_tune_model_hyperparameters,
    azureml_two_class_averaged_perceptron,
    azureml_two_class_boosted_decision_tree,
    azureml_two_class_decision_forest,
    azureml_two_class_logistic_regression,
    azureml_two_class_neural_network,
    azureml_two_class_support_vector_machine,
    fine_tune_for_huggingface_text_classification,
    fine_tune_for_huggingface_text_generation,
    fine_tune_for_huggingface_token_classification,
    score_for_huggingface_text_classification,
    score_for_huggingface_text_generation,
    score_for_huggingface_token_classification,
    sweep_for_huggingface_text_classification,
    sweep_for_huggingface_text_generation,
    sweep_for_huggingface_token_classification,
    datasets,
    Datasets,
)

_assets_spec = [
    'file:../../../../../local_components/mpi/component.yaml',
    'file:../../../../../local_components/copy_files/component.yaml',
    'file:../../../../../local_components/hdi-component/component_spec.yaml',
    'file:../../../../../local_components/scope_component/toss/component_spec.yaml',
    'file:../../../../../local_components/sweep_component/sweep.spec.yaml',
    'azureml://feeds/azureml',
    'azureml://feeds/huggingface',
]

__all__ = [
    'microsoft_com_azureml_samples_hello_world_with_cpu_image',
    'microsoft_com_azureml_samples_parallel_copy_files_v1',
    'microsoft_com_azureml_samples_train_in_spark',
    'bing_relevance_convert2ss',
    'microsoft_com_azureml_samples_tune',
    'azureml_add_columns',
    'azureml_add_rows',
    'azureml_apply_image_transformation',
    'azureml_apply_math_operation',
    'azureml_apply_sql_transformation',
    'azureml_apply_transformation',
    'azureml_assign_data_to_clusters',
    'azureml_boosted_decision_tree_regression',
    'azureml_clean_missing_data',
    'azureml_clip_values',
    'azureml_convert_word_to_vector',
    'azureml_convert_to_csv',
    'azureml_convert_to_dataset',
    'azureml_convert_to_image_directory',
    'azureml_convert_to_indicator_values',
    'azureml_create_python_model',
    'azureml_cross_validate_model',
    'azureml_decision_forest_regression',
    'azureml_densenet',
    'azureml_edit_metadata',
    'azureml_enter_data_manually',
    'azureml_evaluate_model',
    'azureml_evaluate_recommender',
    'azureml_execute_python_script',
    'azureml_execute_r_script',
    'azureml_export_data',
    'azureml_extract_n_gram_features_from_text',
    'azureml_fast_forest_quantile_regression',
    'azureml_feature_hashing',
    'azureml_filter_based_feature_selection',
    'azureml_group_data_into_bins',
    'azureml_import_data',
    'azureml_init_image_transformation',
    'azureml_join_data',
    'azureml_k_means_clustering',
    'azureml_latent_dirichlet_allocation',
    'azureml_linear_regression',
    'azureml_multiclass_boosted_decision_tree',
    'azureml_multiclass_decision_forest',
    'azureml_multiclass_logistic_regression',
    'azureml_multiclass_neural_network',
    'azureml_neural_network_regression',
    'azureml_normalize_data',
    'azureml_one_vs_all_multiclass',
    'azureml_one_vs_one_multiclass',
    'azureml_pca_based_anomaly_detection',
    'azureml_partition_and_sample',
    'azureml_permutation_feature_importance',
    'azureml_poisson_regression',
    'azureml_preprocess_text',
    'azureml_remove_duplicate_rows',
    'azureml_resnet',
    'azureml_smote',
    'azureml_score_image_model',
    'azureml_score_model',
    'azureml_score_svd_recommender',
    'azureml_score_vowpal_wabbit_model',
    'azureml_score_wide_and_deep_recommender',
    'azureml_select_columns_transform',
    'azureml_select_columns_in_dataset',
    'azureml_split_data',
    'azureml_split_image_directory',
    'azureml_summarize_data',
    'azureml_train_anomaly_detection_model',
    'azureml_train_clustering_model',
    'azureml_train_model',
    'azureml_train_pytorch_model',
    'azureml_train_svd_recommender',
    'azureml_train_vowpal_wabbit_model',
    'azureml_train_wide_and_deep_recommender',
    'azureml_tune_model_hyperparameters',
    'azureml_two_class_averaged_perceptron',
    'azureml_two_class_boosted_decision_tree',
    'azureml_two_class_decision_forest',
    'azureml_two_class_logistic_regression',
    'azureml_two_class_neural_network',
    'azureml_two_class_support_vector_machine',
    'fine_tune_for_huggingface_text_classification',
    'fine_tune_for_huggingface_text_generation',
    'fine_tune_for_huggingface_token_classification',
    'score_for_huggingface_text_classification',
    'score_for_huggingface_text_generation',
    'score_for_huggingface_token_classification',
    'sweep_for_huggingface_text_classification',
    'sweep_for_huggingface_text_generation',
    'sweep_for_huggingface_token_classification',
    'datasets',
    'Datasets',
]