elif opt in ("-m", "--sim_measures"):
sim_measures = val.split(",")
elif opt in ("-s", "--space"):
spaces = val.split(",")
elif opt in ("-c", "--columns"):
columns = val.split(",")
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(sim_measures, "Similarity measures required", usage)
utils.assert_option_not_none(columns, "Columns to be read from input file required", usage)
if not in_dir is None:
compute_sim_batch(in_file, columns, out_dir, sim_measures, in_dir)
else:
utils.assert_option_not_none(spaces, "Semantic space file required", usage)
compute_sim(in_file, columns, out_dir, sim_measures, spaces)
if __name__ == '__main__':
main(sys.argv)
in_format = val
elif opt == "--output_format":
out_format = val
elif opt == "--core_in_dir":
core_in_dir = val
elif opt == "--core_filter":
core_filter = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file_prefix, "Input file prefix required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(in_format, "Input file format required", usage)
gz = eval(gz)
utils.assert_bool(gz, "--gz value must be True/False", usage)
if not core_in_dir is None:
build_space_batch(in_file_prefix, in_format, out_dir, out_format, core_in_dir, core_filter, gz)
else:
utils.assert_option_not_none(core_space_file, "Input file required", usage)
build_space(in_file_prefix, in_format, out_dir, out_format, core_space_file, gz)
if __name__ == "__main__":
main(sys.argv)
elif opt in ("-c", "--columns"):
columns = val.split(",")
elif opt == "--in_dir":
in_dir = val
elif opt == "--filter":
filter_ = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(corr_measures, "Correlation measures required", usage)
utils.assert_option_not_none(columns, "Columns to be read from input file required", usage)
if len(columns) != 2:
raise ValueError("Columns (-c) field should contain two comma-separated integers (e.g. -c 3,4)")
if not in_dir is None:
evaluate_sim_batch(in_dir, columns, corr_measures, filter_)
else:
utils.assert_option_not_none(in_file, "Input file required", usage)
evaluate_sim(in_file, columns, corr_measures)
if __name__ == '__main__':
main(sys.argv)
columns = val.split(",")
elif opt == "--in_dir":
in_dir = val
elif opt == "--filter":
filter_ = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(corr_measures,
"Correlation measures required", usage)
utils.assert_option_not_none(
columns, "Columns to be read from input file required", usage)
if len(columns) != 2:
raise ValueError(
"Columns (-c) field should contain two comma-separated integers (e.g. -c 3,4)"
)
if not in_dir is None:
evaluate_sim_batch(in_dir, columns, corr_measures, filter_)
else:
utils.assert_option_not_none(in_file, "Input file required", usage)
evaluate_sim(in_file, columns, corr_measures)
param = val
elif opt == "--lambda_range":
param_range = val.split(",")
elif opt == "--export_params":
export_params = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(model, "Model to be trained required", usage)
utils.assert_option_not_none(arg_space,
"Argument space(s) file(s) required", usage)
utils.assert_option_not_none(phrase_space, "Phrase space file required",
usage)
crossvalidation = eval(crossvalidation)
intercept = eval(intercept)
utils.assert_bool(intercept, "intercept must be True/False", usage)
utils.assert_bool(crossvalidation, "crossvalidation must be True/False",
usage)
export_params = eval(export_params)
utils.assert_bool(export_params, "export_params must be True/False", usage)
beta = val
elif opt == "--lambda":
lambda_ = val
elif opt == "--output_format":
out_format = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_xor_options(model, trained_model, "(Only) one of model name (-m) or file of model object (--load_model) are required!", usage)
utils.assert_option_not_none(arg_space, "Argument space(s) file(s) required", usage)
if not alpha is None:
alpha = float(alpha)
if not beta is None:
beta = float(beta)
if not lambda_ is None:
lambda_ = float(lambda_)
apply_model(in_file, out_dir, model, trained_model, arg_space,
alpha, beta, lambda_, out_format)
beta = val
elif opt == "--lambda":
lambda_ = val
elif opt == "--output_format":
out_format = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_xor_options(
model, trained_model,
"(Only) one of model name (-m) or file of model object (--load_model) are required!",
usage)
utils.assert_option_not_none(arg_space,
"Argument space(s) file(s) required", usage)
if not alpha is None:
alpha = float(alpha)
if not beta is None:
beta = float(beta)
if not lambda_ is None:
lambda_ = float(lambda_)
elif opt in ("-o", "--output"):
out_dir = val
elif opt in ("-m", "--sim_measure"):
sim_measure = val
elif opt in ("-s", "--space"):
spaces = val.split(",")
elif opt in ("-n", "--no_neighbours"):
no_neighbours = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
no_neighbours = int(no_neighbours)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(sim_measure, "Similarity measure required", usage)
utils.assert_option_not_none(spaces, "Semantic space file required", usage)
compute_neighbours(in_file, no_neighbours, out_dir, sim_measure, spaces)
if __name__ == '__main__':
main(sys.argv)
param = val
elif opt == "--lambda_range":
param_range = val.split(",")
elif opt == "--export_params":
export_params = val
elif opt in ("-l", "--log"):
log_file = val
elif opt in ("-h", "--help"):
usage()
sys.exit(0)
else:
usage(1)
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file, "Input file required", usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(model, "Model to be trained required", usage)
utils.assert_option_not_none(arg_space, "Argument space(s) file(s) required", usage)
utils.assert_option_not_none(phrase_space, "Phrase space file required", usage)
crossvalidation = eval(crossvalidation)
intercept = eval(intercept)
utils.assert_bool(intercept, "intercept must be True/False", usage)
utils.assert_bool(crossvalidation, "crossvalidation must be True/False", usage)
export_params = eval(export_params)
utils.assert_bool(export_params, "export_params must be True/False", usage)
if not param is None:
param = float(param)
if not param_range is None:
normalizations = val.split(",")
elif opt in ("-l", "--log"):
log_file = val
elif opt == "--input_format":
in_format = val
elif opt == "--output_format":
out_format = val
elif opt in ("-h", "--help"):
usage(0)
else:
usage(1)
if not log_file is None:
log_utils.config_logging(log_file)
utils.assert_option_not_none(in_file_prefix, "Input file prefix required",
usage)
utils.assert_option_not_none(out_dir, "Output directory required", usage)
utils.assert_option_not_none(in_format, "Input format required", usage)
gz = eval(gz)
utils.assert_bool(gz, "--gz value must be True/False", usage)
build_spaces(in_file_prefix, in_format, out_dir, out_format, weightings,
selections, reductions, normalizations, gz)
if __name__ == '__main__':
main(sys.argv)