DataSplitEvaluation¶

class simrun.modular_reduced_model_inference.reduced_model.DataSplitEvaluation(Rm)¶

Split data in training-test sets.

This class provides an interface to split input data in separate train-test sets, and to evaluate the reduced model performance scores corresponding to the splits.

Parameters:¶

Rm : Rm¶

Reduced model. Set after running setup()

Attributes:¶

Rm¶

Reduced model. Set after running setup()

Type:¶

Rm

splits¶

Dictionary of splits

Type:¶

dict

solvers¶

List of solvers

Type:¶

list

optimizer_results¶

List of optimization results

Type:¶

list

optimizer_results_keys¶

List of optimization results keys

Type:¶

list

scores¶

List of scores

Type:¶

list

scores_keys¶

List of scores

Type:¶

list

Methods:¶

add_random_split(name, percentage_train, l)	Set the train-test split randomly.
add_isi_dependent_random_split(name, min_isi, percentage_train)	Split data based on the inter-spike interval.
get_splits()	Get the train-test splits.
add_result(solver, x)	Save the optimization result.
compute_scores()	Compute the score of the optimization.