c1431d47ce335327c5213cef7bb7ae4f4d2d29b3,dragonn/generators.py,DataGenerator,__init__,#DataGenerator#,37

Before Change

        
        //read in the label bed file 
        data=pd.read_csv(data_path,header=0,sep="\t",index_col=[0,1,2])
        if tasks!=None:
            data=data[tasks]
        self.data=data
        
        self.indices=np.arange(self.data.shape[0])
        num_indices=self.indices.shape[0]

After Change

            self.pos_indices=np.repeat(self.pos_indices,num_pos_wraps)[0:num_indices]
            np.random.shuffle(self.pos_indices)
            self.neg_indices=np.repeat(self.neg_indices,num_neg_wraps)[0:num_indices]
            np.random.shuffle(self.neg_indices)
            
    def __len__(self):
        return math.floor(self.data.shape[0]/self.batch_size)

Instances