sklearn_wrapper.py 文件源码

def set_params(self, **parameters):
        """set_params is used to set Grid parameters"""
        for parameter, value in parameters.items():
            if parameter == 'predictor':
                if isinstance(value, chainer.Link):
                    del self.predictor
                    with self.init_scope():
                        self.predictor = value
                else:
                    assert False, 'predictor is not Chain instance'
            elif parameter in ['lossfun', 'accfun', 'device']:
                setattr(self, parameter, value)
            else:
                self.sk_params.update({parameter: value})
        return self