deepinsight.doctor.deep_learning package

Submodules

deepinsight.doctor.deep_learning.gpu module

deepinsight.doctor.deep_learning.keras_callbacks module

deepinsight.doctor.deep_learning.keras_callbacks.get_base_callbacks(run_folder, modeling_params, validation_sequence, prediction_type, test_df_index, target_map=None, save_model=True, use_multi_gpus=False, base_model=None)
deepinsight.doctor.deep_learning.keras_callbacks.get_deep_learning_model_info(folder)
deepinsight.doctor.deep_learning.keras_callbacks.update_deep_learning_model_info(folder, model_info)

deepinsight.doctor.deep_learning.keras_support module

deepinsight.doctor.deep_learning.keras_support.build_scored_validation_data(model, prediction_type, modeling_params, valid_iterator, nb_steps=None, on_step_end_func=None)
deepinsight.doctor.deep_learning.keras_support.check_model_output_dimension(model, prediction_type, target_map, modeling_params)
deepinsight.doctor.deep_learning.keras_support.get_keras_model(train_normal_X, train_df, pipeline, test_df, per_feature, modeling_params, run_folder, prediction_type, target_map, generated_features_mapping, save_model=True)
deepinsight.doctor.deep_learning.keras_support.get_scored_from_y_and_pred(y, y_pred, prediction_type, modeling_params)
deepinsight.doctor.deep_learning.keras_support.retrieve_func_from_code(func_name, dic, code_type)
deepinsight.doctor.deep_learning.keras_support.scored_dataset_generator(model_folder, input_dataset_smartname, recipe_desc, script, preparation_output_schema, cond_outputs, output_y=False, output_input_df=False, should_add_evaluation_columns=False)

deepinsight.doctor.deep_learning.keras_utils module

deepinsight.doctor.deep_learning.keras_utils.split_train_per_input(train_X, per_feature, generated_features_mapping)
deepinsight.doctor.deep_learning.keras_utils.tag_special_features(per_feature)

deepinsight.doctor.deep_learning.load_model module

deepinsight.doctor.deep_learning.load_model.get_keras_model_from_saved_model(saved_model_id)
deepinsight.doctor.deep_learning.load_model.get_keras_model_from_trained_model(session_id=None, analysis_id=None, mltask_id=None)
deepinsight.doctor.deep_learning.load_model.get_keras_model_location_from_saved_model(saved_model_id)
deepinsight.doctor.deep_learning.load_model.get_keras_model_location_from_trained_model(session_id=None, analysis_id=None, mltask_id=None)

deepinsight.doctor.deep_learning.preprocessing module

class deepinsight.doctor.deep_learning.preprocessing.DummyFileReader(managed_folder_id)

Bases: object

read(file_id)
class deepinsight.doctor.deep_learning.preprocessing.TokenizerProcessor(num_words, max_len)

Bases: object

fit(series)
transform(series)

deepinsight.doctor.deep_learning.sequences module

deepinsight.doctor.deep_learning.shared_variables module

deepinsight.doctor.deep_learning.shared_variables.exist_variable(name)
deepinsight.doctor.deep_learning.shared_variables.get_variable(name)
deepinsight.doctor.deep_learning.shared_variables.set_variable(name, value, override=True)

Module contents