ncem.train.GridSearchContainer

class ncem.train.GridSearchContainer(source_path, gs_ids, lateral_resolution)[source]

GridSearchContainer class.

Attributes

`cv_keys`	Return keys of cross-validation used in dictionaries in this class.
`runparams`
`run_ids_clean`
`source_gs`
`cv_ids`
`target_cell_runparams`
`target_cell_evals`
`target_cell_indices`

Methods

`copy_best_model`(gs_id[, dst, metric_select, ...])	Copy best model.
`get_best_model_id`([subset_hyperparameters, ...])	Get best model identifier.
`get_info`(model_id[, expected_pickle])	Get information of model.
`load_gs`([expected_pickle, ...])	Load all metrics from grid search output files.
`load_target_cell_evaluation`([...])	Load all metrics from grid search output files of target cell evaluation.
`plot_best_model_by_hyperparam`(...[, ...])	Plot best model by hyperparameter.
`plot_target_cell_evaluation`(metric_show, ...)	Plot target cell evaluation.
`select_cv`(cv_idx)	Return key of of cross-validation selected with numeric index.