From c9eee2944b2b498557d4e5a44028812b8a350920 Mon Sep 17 00:00:00 2001 From: Yinon Polak Date: Thu, 9 Mar 2023 13:01:04 +0200 Subject: [PATCH] reformat documentation --- freqtrade/freqai/base_models/PyTorchModelTrainer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/freqai/base_models/PyTorchModelTrainer.py b/freqtrade/freqai/base_models/PyTorchModelTrainer.py index 525d543af..4a091f52c 100644 --- a/freqtrade/freqai/base_models/PyTorchModelTrainer.py +++ b/freqtrade/freqai/base_models/PyTorchModelTrainer.py @@ -55,8 +55,8 @@ class PyTorchModelTrainer: :param device: The device to use for training (e.g. 'cpu', 'cuda'). :param batch_size: The size of the batches to use during training. :param max_iters: The number of training iterations to run. - iteration here refers to the number of times we call self.optimizer.step(). - used to calculate n_epochs. + iteration here refers to the number of times we call + self.optimizer.step(). used to calculate n_epochs. :param eval_iters: The number of iterations used to estimate the loss. :param init_model: A dictionary containing the initial model/optimizer state_dict and model_meta_data saved by self.save() method.