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add tensorboard back to reqs to keep default integration working (and for docker)

This commit is contained in:
robcaulk 2022-10-05 21:34:10 +02:00
parent 488739424d
commit e5204101d9
2 changed files with 2 additions and 7 deletions
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8
docs/freqai-reinforcement-learning.md
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@ -202,13 +202,7 @@ As users begin to modify the strategy and the prediction model, they will quickl
### Using Tensorboard
Reinforcement Learning models benefit from tracking training metrics. FreqAI has integrated Tensorboard to allow users to track training and evaluation performance across all coins and across all retrainings. To start, the user should ensure Tensorboard is installed on their computer:
```bash
pip3 install tensorboard
```
Next, the user can activate Tensorboard with the following command:
Reinforcement Learning models benefit from tracking training metrics. FreqAI has integrated Tensorboard to allow users to track training and evaluation performance across all coins and across all retrainings. Tensorboard is activated via the following command:
```bash
cd freqtrade

1
requirements-freqai-rl.txt
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@ -6,3 +6,4 @@ torch==1.12.1
stable-baselines3==1.6.1
gym==0.21
sb3-contrib==1.6.1
tensorboard==2.10.1