Loading deepchem/hyper/gaussian_process.py +2 −0 Original line number Diff line number Diff line Loading @@ -161,6 +161,8 @@ class GaussianProcessHyperparamOpt(HyperparamOpt): `train_dataset` and `valid_dataset` may have been transformed for learning and need the transform to be inverted before the metric can be evaluated on a model. nb_epoch: int, (default 5) Specifies the number of epochs during each iteration of optimization use_max: bool, (default True) Specifies whether to maximize or minimize `metric`. maximization(True) or minimization(False) Loading Loading
deepchem/hyper/gaussian_process.py +2 −0 Original line number Diff line number Diff line Loading @@ -161,6 +161,8 @@ class GaussianProcessHyperparamOpt(HyperparamOpt): `train_dataset` and `valid_dataset` may have been transformed for learning and need the transform to be inverted before the metric can be evaluated on a model. nb_epoch: int, (default 5) Specifies the number of epochs during each iteration of optimization use_max: bool, (default True) Specifies whether to maximize or minimize `metric`. maximization(True) or minimization(False) Loading
