zoo/jumpnet/jumpnet_c.py
def learner(self, x, **metaparameters):
        """ Construct the Learner
            x     : input to the learner
            groups: list of groups: number of filters and blocks
        """
        groups = metaparameters['groups']

        # Residual Groups
        for group in groups:
            x = self.group(x, **group)
        return x
 Construct the Learner
            x     : input to the learner
            groups: list of groups: number of filters and blocks
        
Construct the Learner
x     : input to the learner
groups: list of groups: number of filters and blocks
Construct the Learner x : input to the learner groups : list of groups : number of filters and blocks
def learner(self, x, **metaparameters):
        groups = metaparameters['groups']
        for group in groups:
            x = self.group(x, **group)
        return x
def learner ( self , x , ** metaparameters ) : groups = metaparameters [ 'groups' ] for group in groups : x = self . group ( x , ** group ) return x
Construct the Learner
x     : input to the learner
groups: list of groups: number of filters and blocks
Construct the Learner x : input to the learner groups : list of groups : number of filters and blocks
""" Construct the Learner
            x     : input to the learner
            groups: list of groups: number of filters and blocks
        """ # Residual Groups
self
x