def run_neural_network_using_cross_validation(
data,
data_with_features_with_dict,
k_fold,
split_by_node,
show_only_average_result=False,
save_report_performance=None,
report_performance_file_path=None,
task=None,
splitted_edges_dir=None):
if task == 'link_prediction':
# splitted_edges_dir = r'C:\Users\Anak\PycharmProjects\recreate_gene_disease\Data\processed\LinkPrediction\GeneDiseaseProject\copd\PhenotypeGeneDisease\PGDP\Node2Vec\UnweightedEdges\NoAddedEdges\\'
# if not split_by_node:
# splitted_edges_dir = splitted_edges_dir + f'SplitByEdge\\'
# else:
# splitted_edges_dir = splitted_edges_dir + f'SplitByNode\\'
splitted_edges_file_path = splitted_edges_dir + f'\KFold={k_fold}\\splitted_edges.bin'
# TODO code below run_clf_using_cross_validation has been moved to cross_validation()
run_clf_using_cross_validation(
data,
data_with_features_with_dict,
k_fold,
# show_only_average_result=show_only_average_result,
show_only_average_result=False,
save_report_performance=save_report_performance,
report_performance_file_path=report_performance_file_path,
run_clf_for_each_fold=run_neural_network_for_each_fold,
task=task,
edges_as_data=True,
splitted_edges_dir=splitted_edges_dir,
split_by_node=split_by_node)
else:
raise ValueError('NN is only implemented for link_prediction')
def run_lr_using_cross_validation(data,
data_with_features,
k_fold,
show_only_average_result=False,
save_report_performance=None,
report_performance_file_path=None,
task=None,
split_by_node=None):
"""
@param X: numpy
@param y: numpy
@return:
"""
# TODO code below run_clf_using_cross_validation has been moved to cross_validation()
run_clf_using_cross_validation(
data,
data_with_features,
k_fold,
show_only_average_result=show_only_average_result,
save_report_performance=save_report_performance,
report_performance_file_path=report_performance_file_path,
run_clf_for_each_fold=run_lr_for_each_fold,
task=task,
edges_as_data=False,
split_by_node=split_by_node)