Loading deepchem/models/keras_model.py +2 −2 Original line number Diff line number Diff line Loading @@ -303,7 +303,7 @@ class KerasModel(Model): callbacks: function or list of functions one or more functions of the form f(model, step) that will be invoked after every step. This can be used to perform validation, logging, etc. all_losses: Optional[List[float]], optional (default False) all_losses: Optional[List[float]], optional (default None) If specified, all logged losses are appended into this list. Note that you can call `fit()` repeatedly with the same list and losses will continue to be appended. Loading Loading @@ -352,7 +352,7 @@ class KerasModel(Model): callbacks: function or list of functions one or more functions of the form f(model, step) that will be invoked after every step. This can be used to perform validation, logging, etc. all_losses: Optional[List[float]], optional (default False) all_losses: Optional[List[float]], optional (default None) If specified, all logged losses are appended into this list. Note that you can call `fit()` repeatedly with the same list and losses will continue to be appended. Loading Loading
deepchem/models/keras_model.py +2 −2 Original line number Diff line number Diff line Loading @@ -303,7 +303,7 @@ class KerasModel(Model): callbacks: function or list of functions one or more functions of the form f(model, step) that will be invoked after every step. This can be used to perform validation, logging, etc. all_losses: Optional[List[float]], optional (default False) all_losses: Optional[List[float]], optional (default None) If specified, all logged losses are appended into this list. Note that you can call `fit()` repeatedly with the same list and losses will continue to be appended. Loading Loading @@ -352,7 +352,7 @@ class KerasModel(Model): callbacks: function or list of functions one or more functions of the form f(model, step) that will be invoked after every step. This can be used to perform validation, logging, etc. all_losses: Optional[List[float]], optional (default False) all_losses: Optional[List[float]], optional (default None) If specified, all logged losses are appended into this list. Note that you can call `fit()` repeatedly with the same list and losses will continue to be appended. Loading
