def make_argument_parser():
 parser = argparse.ArgumentParser(description='Launch a prediction from a pkl file')
 parser.add_argument('model_filename', help='Specifies the pkl model file')
 parser.add_argument('test_filename', help='Specifies the csv file with the values to predict')
 parser.add_argument('output_filename', help='Specifies the predictions output file')
 parser.add_argument('--prediction_type', '-P', default='classification', help='Prediction type (classification/regression)')
 parser.add_argument('--output_type', '-T', default='int', help='Output variable type (int/float)')
 parser.add_argument('--has-headers', '-H', dest='has_headers', action='store_true', help='Indicates the first row in the input file is feature labels')
 parser.add_argument('--has-row-label', '-L', dest='has_row_label', action='store_true', help='Indicates the first column in the input file is row labels')
 parser.add_argument('--delimiter', '-D', default=',', help="Specifies the CSV delimiter for the test file. Usual values are                              comma (default) ',' semicolon ';' colon ':' tabulation '\\t' and space ' '")
 return parser

def make_argument_parser ( ) : parser = argparse . ArgumentParser ( description = 'Launch a prediction from a pkl file' ) parser . add_argument ( 'model_filename' , help = 'Specifies the pkl model file' ) parser . add_argument ( 'test_filename' , help = 'Specifies the csv file with the values to predict' ) parser . add_argument ( 'output_filename' , help = 'Specifies the predictions output file' ) parser . add_argument ( '--prediction_type' , '-P' , default = 'classification' , help = 'Prediction type (classification/regression)' ) parser . add_argument ( '--output_type' , '-T' , default = 'int' , help = 'Output variable type (int/float)' ) parser . add_argument ( '--has-headers' , '-H' , dest = 'has_headers' , action = 'store_true' , help = 'Indicates the first row in the input file is feature labels' ) parser . add_argument ( '--has-row-label' , '-L' , dest = 'has_row_label' , action = 'store_true' , help = 'Indicates the first column in the input file is row labels' ) parser . add_argument ( '--delimiter' , '-D' , default = ',' , help = "Specifies the CSV delimiter for the test file. Usual values are                              comma (default) ',' semicolon ';' colon ':' tabulation '\\t' and space ' '" ) return parser
creates an argumentparser to read the options for this script from sys .