Source Code for Module ml.learner

 1  ''' 
 2  It provides a general classifier API which unifies common  
 3  machine learning functions 
 4   
 5  Created on 19 Apr 2013 
 6   
 7  @author: Eleftherios Avramidis 
 8  ''' 
 9   
10   
11   
12 -def forname(name, library='orange', **kwargs): 
13      """  
14      Wrap the specified external classifier into the generic 
15      classifier class and return the object 
16      @param name: the name of the classifier 
17      @param library: the name of the library whose classifeir should be used 
18      """   
19      pass 
20       
21   
22   
23 -class Regressor(object): 
24 -    def __init__(self, object): 
25          pass 
26       
27 -    def load_training_dataset(self, dataset, 
28                           class_name, 
29                           desired_parallel_attributes = [], 
30                           desired_source_attributes = [], 
31                           desired_target_attributes = [], 
32                           meta_attributes = [], 
33                           scale=True): 
34          raise NotImplementedError(); 
35       
36 -    def feature_selection(self, config): 
37          raise NotImplementedError(); 
38   
39           
40 -    def set_learning_method(self, config): 
41          raise NotImplementedError(); 
42       
43       
44 -    def cross_validate_scores(self): 
45          if not self.training_data_loaded: 
46              raise AssertionError("Training data must be loaded, before cross validation") 
47          self.cross_validate_start(); 
48       
49 -    def train(self): 
50          self.train_start(self) 
51       
52 -    def test_dataset(self): 
53          raise NotImplementedError(); 
54       
55 -    def predict_dataset(self): 
56          raise NotImplementedError(); 
57   
58   
59 -class Classifier(object): 
60      ''' 
61      classdocs 
62      ''' 
63   
64   
65 -    def __init__(self, object): 
66          ''' 
67          Constructor 
68          ''' 
69          pass 
70