def __init__(self, config, method = 'classification'): """ """ # self.logging = logging # if config.configuration['logging_level_str'] == 'INFO': # self.logging.basicConfig(format='%(asctime)s %(message)s', level=logging.INFO) # else: # self.logging.basicConfig(level=logging.NOTSET) # # self.logging.info('started building a MLP_Learner!') # # self.result_path = '' # self.result_opt_path = '' Learner.__init__(self, config, method)
def __init__(self, config, method='classification'): """ """ # self.logging = logging # if config.configuration['logging_level_str'] == 'INFO': # self.logging.basicConfig(format='%(asctime)s %(message)s', level=logging.INFO) # else: # self.logging.basicConfig(level=logging.NOTSET) # # self.logging.info('started building a MLP_Learner!') # # self.result_path = '' # self.result_opt_path = '' Learner.__init__(self, config, method)
def __init__(self, config, type = 'LDA', method = 'classification'): """ """ Learner.__init__(self, config, method) self.type = type
def __init__(self, config, method='classification'): """ """ Learner.__init__(self, config, method)
def __init__(self, config, method='classification'): """ """ Learner.__init__(self, config, method)
def __init__(self, config, method = 'classification'): Learner.__init__(self, config, method) self.kernel = 'rbf' self.grid_dictionary = None
def __init__(self, config, type='LDA', method='classification'): """ """ Learner.__init__(self, config, method) self.type = type
def __init__(self, config, method='classification'): Learner.__init__(self, config, method) self.kernel = 'rbf' self.grid_dictionary = None