我们从Python开源项目中，提取了以下3个代码示例，用于说明如何使用models.Model()。
def __init__(self, model=None, debug=False, features=False, candidates=False, error_handling=True): ''' Initialize the disambiguation model and Solr connection. ''' if model == 'train': self.model = models.Model() elif model == 'svm': self.model = models.LinearSVM() elif model == 'nn': self.model = models.NeuralNet() elif model == 'bnn': self.model = models.BranchingNeuralNet() else: self.model = models.NeuralNet() self.debug = debug self.features = features self.candidates = candidates self.error_handling = error_handling self.solr_connection = solr.SolrConnection(SOLR_URL)
def rank(self): ''' Rank candidates according to trained model. ''' for c in self.filtered_candidates: c.set_prob_features() # Only calculate prob if not in training mode if self.model.__class__.__name__ != 'Model': example = [] for j in range(len(self.model.features)): feature = getattr(c, self.model.features[j]) example.append(float(feature)) c.prob = self.model.predict(example) self.ranked_candidates = sorted(self.filtered_candidates, key=attrgetter('prob'), reverse=True)
def __init__(self): self.NAME = "Alexandria" self.VERSION = "0.1" # Model self.model = models.Model() # Configuration file self.conf_file = AlexandriaConfiguration("alexandria.conf") # Build driver list from configuration file driver_name_list = self.conf_file.get_drivers() self.drivers = drivers.DriverCollection() # Create objects !!!! TO BE CONTINUED !!!! for driver_name in driver_name_list: # Get class driver_class = getattr(sys.modules["drivers"], driver_name.capitalize()) # Create object driver_object = driver_class() # Add to driver list self.drivers.append(driver_object) index = self.drivers.index(driver_object) # Set an attribute to the coresponding driver setattr(self.drivers, driver_name.lower(), self.drivers[index])
