Loading examples/Benchmark.py +7 −1 Original line number Diff line number Diff line Loading @@ -54,6 +54,9 @@ def benchmark_loading_datasets(base_dir_o, hyper_parameters, n_features = 1024, base_dir_o, string path of working folder, will be combined with '/dataset_name' hyper_parameters, dict of list hyper parameters including dropout rate, learning rate, etc. n_features, integer, optional (default=1024) number of features, or length of binary fingerprints Loading Loading @@ -149,6 +152,9 @@ def benchmark_train_and_valid(base_dir,train_dataset,valid_dataset,tasks, transformers, BalancingTransformer struct loaded properties of dataset from load_* function hyper_parameters, dict of list hyper parameters including dropout rate, learning rate, etc. n_features, integer, optional (default=1024) number of features, or length of binary fingerprints Loading Loading @@ -236,4 +242,4 @@ if __name__ == '__main__': benchmark_loading_datasets(base_dir_o,hyper_parameters,n_features = 1024, dataset_name = dataset_name, model = model, reload = reload, verbosity = verbosity, out_path='/home/zqwu/deepchem/examples') reload = reload, verbosity = verbosity) Loading
examples/Benchmark.py +7 −1 Original line number Diff line number Diff line Loading @@ -54,6 +54,9 @@ def benchmark_loading_datasets(base_dir_o, hyper_parameters, n_features = 1024, base_dir_o, string path of working folder, will be combined with '/dataset_name' hyper_parameters, dict of list hyper parameters including dropout rate, learning rate, etc. n_features, integer, optional (default=1024) number of features, or length of binary fingerprints Loading Loading @@ -149,6 +152,9 @@ def benchmark_train_and_valid(base_dir,train_dataset,valid_dataset,tasks, transformers, BalancingTransformer struct loaded properties of dataset from load_* function hyper_parameters, dict of list hyper parameters including dropout rate, learning rate, etc. n_features, integer, optional (default=1024) number of features, or length of binary fingerprints Loading Loading @@ -236,4 +242,4 @@ if __name__ == '__main__': benchmark_loading_datasets(base_dir_o,hyper_parameters,n_features = 1024, dataset_name = dataset_name, model = model, reload = reload, verbosity = verbosity, out_path='/home/zqwu/deepchem/examples') reload = reload, verbosity = verbosity)
