hookeai.model_architectures.rnn_base_model.optimization.hydra_optimization

Hydra hyperparameter optimization.

Execute (multi-run mode):

$ python3 hydra_optimization.py -m

Functions

hydra_wrapper

Wrapper of Hydra hyperparameter optimization main function.

Functions

add_dataset_feature_init(dataset, ...)	Add feature initialization to all samples of time series data set.
concatenate_dataset_features(dataset, ...[, ...])	Concatenate existing features of time series data set into new feature.
display_hydra_job_header(hydra_cfg)	Display Hydra hyperparameter optimization job header.
generate_prediction_plots(dataset_file_path, ...)	Generate plots of model predictions.
generate_standard_training_plots(model_directory)	Generate plots of standard training of model.
hydra_wrapper(process, dataset_paths[, ...])	Wrapper of Hydra hyperparameter optimization main function.
load_dataset(dataset_file_path)	Load PyTorch time series data set.
make_directory(directory[, is_overwrite])	Create a directory.
predict(dataset, model_directory[, model, ...])	Make predictions with recurrent neural network model for given dataset.
train_model(n_max_epochs, dataset, ...[, ...])	Training of recurrent neural network model.
write_summary_file(summary_directory[, ...])	Write summary data file with provided keyword-based parameters.