Loading deepchem/models/keras_model.py +6 −2 Original line number Diff line number Diff line Loading @@ -131,8 +131,12 @@ class KerasModel(Model): tensorboard: bool whether to log progress to TensorBoard during training log_frequency: int The frequency at which to log data. Data is logged using `logging` by default. If `tensorboard` is set, data is also logged to TensorBoard. The frequency at which to log data. Data is logged using `logging` by default. If `tensorboard` is set, data is also logged to TensorBoard. Logging happens at global steps. Roughly, a global step corresponds to one batch of training. If you'd like a printout every 10 batch steps, you'd set `log_frequency=10` for example. """ super(KerasModel, self).__init__( model_instance=model, model_dir=model_dir, **kwargs) Loading Loading
deepchem/models/keras_model.py +6 −2 Original line number Diff line number Diff line Loading @@ -131,8 +131,12 @@ class KerasModel(Model): tensorboard: bool whether to log progress to TensorBoard during training log_frequency: int The frequency at which to log data. Data is logged using `logging` by default. If `tensorboard` is set, data is also logged to TensorBoard. The frequency at which to log data. Data is logged using `logging` by default. If `tensorboard` is set, data is also logged to TensorBoard. Logging happens at global steps. Roughly, a global step corresponds to one batch of training. If you'd like a printout every 10 batch steps, you'd set `log_frequency=10` for example. """ super(KerasModel, self).__init__( model_instance=model, model_dir=model_dir, **kwargs) Loading
