Python testerror_sparse_add_smooth示例

示例#1

文件： sparse_add_models_spearmint.py 项目： jjfeng/descent_optimization

 def get_validation_cost(self, thetas):
     validation_cost = testerror_sparse_add_smooth(
         self.data.y_validate,
         self.data.validate_idx,
         thetas
     )
     return validation_cost

示例#2

    def get_validation_cost(self, lambdas):
        # if any are not positive, then just return max value
        for l in lambdas:
            if l <= 0:
                return self.MAX_COST

        thetas = self.problem_wrapper.solve(lambdas, quick_run=True)
        validation_cost = testerror_sparse_add_smooth(
            self.data.y_validate,
            self.data.validate_idx,
            thetas
        )
        self.log("validation_cost %f" % validation_cost)
        return validation_cost

示例#3

文件： sparse_add_models_grid_search.py 项目： nrs02004/descent-based-optimization

 def get_validation_cost(self, model_params):
     return testerror_sparse_add_smooth(self.data.y_validate,
                                        self.data.validate_idx,
                                        model_params)

示例#4

文件： sparse_add_models_spearmint.py 项目： nrs02004/descent-based-optimization

 def get_validation_cost(self, thetas):
     validation_cost = testerror_sparse_add_smooth(self.data.y_validate,
                                                   self.data.validate_idx,
                                                   thetas)
     return validation_cost

示例#5

文件： sparse_add_models_grid_search.py 项目： jjfeng/descent-based-optimization

 def get_validation_cost(self, model_params):
     return testerror_sparse_add_smooth(self.data.y_validate, self.data.validate_idx, model_params)