def __init__(self, conf_file):
LinearModel.__init__(self, conf_file)
if 'train_data' in self.conf.options('logistic_regression'):
self._load_data(self.conf.get('logistic_regression', 'train_data'))
self.alpha = self.conf.getfloat('logistic_regression', 'alpha')
self.iters = self.conf.getint('logistic_regression', 'num_iters')
self.lambd = self.conf.getfloat('logistic_regression', 'lambda')
self.intercept = self.conf.getboolean('linear_regression', 'has_intercept')
def __init__(self, options):
LinearModel.__init__(self)
self.alpha = options.alpha
self.iters = options.num_iters
self.lambd = options.lambd
self.intercept = options.has_intercept
self.model_in = options.model_in
self.model_out = options.model_out
self.training_file = options.training_file
self.test_file = options.test_file
self.results_file = options.results_file
if self.test_file != '':
self._load_data(self.test_file)
else:
self._load_data(self.training_file)