parameters.ini

[dataset]
malicious_filepath = sample_dataset_saved_feature_vectors/malicious
benign_filepath = sample_dataset_saved_feature_vectors/benign
helper_filepath = helper_files/
malicious_files_list = None
benign_files_list = None
load_mapping_from_pickle = True
pickle_mapping_file = imported_function_to_index_mapping_sample_dataset.p
use_subset_of_data = False
num_files_to_use = 400
num_features_to_use = None
test_size_percent = 0.2
generate_feature_vector_files = False
use_saved_feature_vectors = True

[general]
is_synthetic_dataset = False
synthetic_vector_size = 100
is_cuda = True
gpu_device = 0
log_interval = 10000
use_seed = True
seed = 0
is_losswise = False
losswise_api_key = None
training_method = natural
evasion_method = natural
experiment_suffix = sample_dataset_example
train_model_from_scratch = True
load_model_weights = False
model_weights_path = ./helper_files/[training:bga_k|evasion:bga_k]_cuda_speed_test-model.pt
num_workers = 4
model_output_directory = trained_models

[hyperparam]
starting_epoch = 0
ff_h1 = 300
ff_h2 = 300
ff_h3 = 300
ff_learning_rate = 0.0001
ff_num_epochs = 10
evasion_iterations = 50
training_batch_size = 8
test_batch_size = 8