ff6c598abad81aec828e6a5967d2c6cfc5779a19,hyperopt/theano_gp.py,GP_BanditAlgo,K_fn,#GP_BanditAlgo#Any#Any#,503

Before Change

            fill_value = 1
        else:
            fill_value = 0
        gram_matrices = [
                kern.K(
                    //iv0.idxs,
                    iv0.vals.dimshuffle(0, "x"),
                    //iv1.idxs,
                    iv1.vals.dimshuffle(0, "x"),
                    //fill_value=fill_value
                    )
                for kern, iv0, iv1 in zip(self.kernels, x0, x1)]

        if self.multiplicative_kernels:
            return tensor.mul(*gram_matrices)
        else:
            return tensor.add(*gram_matrices)

    def prepare_GP_training_data(self, X_IVLs, Ys, Ys_var):

After Change

        n_train_dict = {
                id(self.x_obs_IVL):self.s_n_train,
                id(self.cand_x): self.s_n_test}

        if x1 is x0:
            nx1 = self.s_n_train

Instances