mlair.workflows.custom_workflows¶
Collection of custom workflows.
Module Contents¶
Classes¶
A workflow executing ExperimentSetup, PreProcessing, ModelSetup, and Training. PostProcessing is not added to this |
Attributes¶
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mlair.workflows.custom_workflows.__date__= 2022-07-20¶
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class
mlair.workflows.custom_workflows.HyperSearchWorkflow(stations=None, train_model=None, create_new_model=None, window_history_size=None, experiment_date='testrun', variables=None, statistics_per_var=None, start=None, end=None, target_var=None, target_dim=None, window_lead_time=None, dimensions=None, interpolation_method=None, time_dim=None, limit_nan_fill=None, train_start=None, train_end=None, val_start=None, val_end=None, test_start=None, test_end=None, use_all_stations_on_all_data_sets=None, fraction_of_train=None, experiment_path=None, plot_path=None, forecast_path=None, bootstrap_path=None, overwrite_local_data=None, sampling=None, permute_data_on_training=None, extreme_values=None, extremes_on_right_tail_only=None, transformation=None, train_min_length=None, val_min_length=None, test_min_length=None, plot_list=None, model=None, batch_size=None, epochs=None, data_handler=None, log_level_stream=None, **kwargs)¶ Bases:
mlair.workflows.default_workflow.DefaultWorkflowA workflow executing ExperimentSetup, PreProcessing, ModelSetup, and Training. PostProcessing is not added to this workflow which is intended to be used in a training cycle.
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_setup(self, **kwargs)¶ Set up default workflow.
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