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add config option for activating and deactivating tensorboard logger, ensure the various flavors are never activated simultaneously

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robcaulk
2023-05-14 14:08:00 +00:00
parent ab7a474ab6
commit 55a1a3afd6
11 changed files with 79 additions and 74 deletions
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1
docs/freqai-parameter-table.md
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@@ -21,6 +21,7 @@ Mandatory parameters are marked as **Required** and have to be set in one of the
| `continual_learning` | Use the final state of the most recently trained model as starting point for the new model, allowing for incremental learning (more information can be found [here](freqai-running.md#continual-learning)). Beware that this is currently a naive approach to incremental learning, and it has a high probability of overfitting/getting stuck in local minima while the market moves away from your model. We have the connections here primarily for experimental purposes and so that it is ready for more mature approaches to continual learning in chaotic systems like the crypto market. <br> **Datatype:** Boolean. <br> Default: `False`.
| `write_metrics_to_disk` | Collect train timings, inference timings and cpu usage in json file. <br> **Datatype:** Boolean. <br> Default: `False`
| `data_kitchen_thread_count` | <br> Designate the number of threads you want to use for data processing (outlier methods, normalization, etc.). This has no impact on the number of threads used for training. If user does not set it (default), FreqAI will use max number of threads - 2 (leaving 1 physical core available for Freqtrade bot and FreqUI) <br> **Datatype:** Positive integer.
| `activate_tensorboard` | <br> Indicate whether or not to activate tensorboard for the tensorboard enabled modules (currently Reinforcment Learning, XGBoost, Catboost, and PyTorch). Tensorboard needs Torch installed, which means you will need the torch/RL docker image or you need to answer "yes" to the install question about whether or not you wish to install Torch. <br> **Datatype:** Boolean. <br> Default: `True`.
### Feature parameters

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docs/freqai-running.md
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@@ -168,7 +168,7 @@ This specific hyperopt would help you understand the appropriate `DI_values` for
Tensorboard logging requires the FreqAI torch installation/docker image.
The easiest way to use tensorboard is to open a separate shell and run:
The easiest way to use tensorboard is to ensure `freqai.activate_tensorboard` is set to `True` (default setting) in your configuration file, run FreqAI, then open a separate shell and run:
```bash
cd freqtrade
@@ -178,3 +178,7 @@ tensorboard --logdir user_data/models/unique-id
where `unique-id` is the `identifier` set in the `freqai` configuration file. This command must be run in a separate shell if you wish to view the output in your browser at 127.0.0.1:6060 (6060 is the default port used by Tensorboard).
![tensorboard](assets/tensorboard.jpg)
!!! note "Deactivate for improved performance"
Tensorboard logging can slow down training and should be deactivated for production use.