def sliding(self, size, step=1):
        return self._transform(transformations.sliding_t(_wrap, size, step))
For making predictions, does not account for normalization or likelihood
dataset/ETHPy150Open EntilZha/PyFunctional/functional/pipeline.py/Sequence.sliding--crossover with--dataset/ETHPy150Open SheffieldML/GPy/GPy/core/gp.py/GP._raw_predict