@click.command()
@click.argument('input_file', type=click.Path(exists=True, dir_okay=False))
@click.argument('output_file', type=click.Path(writable=True, dir_okay=False))
def create_figures(input_file, output_file):
""" Evaluates a model using a specific test file. The Test file must be preprocessed and featurized
:param input_file: File path to featurized vector of all data
:type input_file: str
:param output_file: Filename to save the visualization to.
:type output_file: str
"""
logger = logging.getLogger(__name__)
logger.info('Plotting pairwise distribution...')
dframe = read_feature_vector(input_file)
plot = exploratory_visualization(dframe)
plot.savefig(output_file)
if __name__ == '__main__':
config_logging()
# find .env automagically by walking up directories until it's found, then
# load up the .env entries as environment variables
load_dotenv(find_dotenv())
if not create_figures(sys.argv[1:]):
sys.exit(1)
def __init__(self, filename='settings/settings_private.cfg'):
self._filename = filename
self._cfg = read_settings(filename)
config_logging(self._cfg)
l.info('Settings read from ' + self._filename)