def configure():
cli = CLI()
cli.configure('-e', '--execute',
'execute action (correlation|scatter|histogram)',
choices=['correlation','scatter','histogram'],
default='correlation',
required=True,
type='string')
cli.configure('-d', '--data',
'data input file to use',
default=None,
required=True,
type='string')
cli.configure('-D', '--dtype',
'data file type (csv|pickle) to use',
choices=['csv','pickle'],
default='csv',
required=True,
type='string')
cli.configure('-k', '--key',
'key(s) to use',
default=None,
required=True,
type='string')
cli.configure('-r', '--rows',
'row to use',
default=None,
type='string')
cli.configure('-c', '--columns',
'columns to use',
default=None,
type='string')
cli.configure('-f', '--fields',
'field names of columns to use',
default=None,
type='string')
cli.configure('-o', '--output',
'output path for generated output',
default=None,
type='string')
cli.configure('-R', '--randomize',
'Use a random subset of data of specified size',
default=None,
type='string')
cli.configure('-j', '--json',
'save command parameters as JSON for re-execution',
default='temp.json',
type='string')
cli.configure('-x', '--configuration',
'use configuration command parameters for execution',
default=None,
type='string')
args = cli.parse()
execArg = args['--execute']
logger.info('Using execute: {0}'.format( execArg ) )
dataArg = args['--data']
logger.info('Using data: {0}'.format( dataArg ) )
dtypeArg = args['--dtype']
logger.info('Using dtype: {0}'.format( dtypeArg ) )
keyArg = args['--key']
logger.info('Using key: {0}'.format( keyArg ) )
rowsArg = args['--rows']
logger.info('Using rows: {0}'.format( rowsArg ) )
colsArg = args['--columns']
logger.info('Using columns: {0}'.format( colsArg ) )
fieldsArg = args['--fields']
logger.info('Using fields: {0}'.format( fieldsArg ) )
outputArg = args['--output']
logger.info('Using output: {0}'.format( outputArg ) )
randomizeArg = args['--randomize']
logger.info('Using randomize: {0}'.format( randomizeArg ) )
jsonArg = args['--json']
logger.info('Using json: {0}'.format( jsonArg ) )
configurationArg = args['--configuration']
logger.info('Using configuration: {0}'.format( configurationArg ) )
if validate(cli) == False:
exit(-1)
return(execArg, dataArg, dtypeArg,
keyArg, rowsArg, colsArg,
fieldsArg, outputArg, randomizeArg,
jsonArg, configurationArg)
def configure():
cli = CLI()
cli.configure('-e', '--execute',
'execute action (classify|gridsearch|crossvalidate)',
choices=['classify','gridsearch','crossvalidate'],
default='classify',
type='string')
cli.configure('-c', '--configuration',
'configuration to use',
default='./configuration.json',
type='string')
cli.configure('-m', '--module',
'preprocessor module to use',
default=None,
type='string')
cli.configure('-p', '--prediction',
'execute prediction',
default='false',
type='string')
cli.configure('-o', '--override',
'configuration name:value pair to use (overrides configuration)',
default=None,
type='string')
args = cli.parse()
executeArg = args['--execute']
logger.info('Using execute: {0}'.format( executeArg ) )
configurationArg = args['--configuration']
logger.info('Using configuration: {0}'.format( configurationArg ) )
moduleArg = args['--module']
logger.info('Using module: {0}'.format( moduleArg ) )
predictionArg = args['--prediction']
logger.info('Using prediction: {0}'.format( predictionArg ) )
overrideArg = args['--override']
logger.info('Using override: {0}'.format( overrideArg ) )
return(executeArg, configurationArg, moduleArg, predictionArg, overrideArg)