stable/requirements-freqai.txt

# Include all requirements to run the bot.
-r requirements-hyperopt.txt

# Required for freqai
scikit-learn==1.1.2
joblib==1.1.0
catboost==1.0.6; platform_machine != 'aarch64'
lightgbm==3.3.2
torch==1.12.1
stable-baselines3==1.6.0
gym==0.21.0
tensorboard==2.9.1
optuna==2.10.1
sb3-contrib==1.6.0
add freqao backend machinery, user interface, documentation 2022-05-03 08:14:17 +00:00			`# Include all requirements to run the bot.`
Revert the docker changes to be inline with the original freqtrade image Reverted the changes, and added a new way of doing, Dockerfile.freqai with that file the users can make their own dockerimage. 2022-08-26 07:59:17 +00:00			`-r requirements-hyperopt.txt`
add freqao backend machinery, user interface, documentation 2022-05-03 08:14:17 +00:00
			`# Required for freqai`
Update scikit-learn in freqai deps 2022-08-09 04:23:16 +00:00			`scikit-learn==1.1.2`
add freqao backend machinery, user interface, documentation 2022-05-03 08:14:17 +00:00			`joblib==1.1.0`
Bump catboost requirement to latest 2022-08-13 07:20:58 +00:00			`catboost==1.0.6; platform_machine != 'aarch64'`
reduce unnecessary verbosity, fix error on first training sweep, add LightGBMPredictionModel 2022-06-26 17:02:17 +00:00			`lightgbm==3.3.2`
add rl dependency 2022-08-14 13:47:58 +00:00			`torch==1.12.1`
Docker building update, and TDQN repair with the newer release of SB+ 2022-08-17 15:31:27 +00:00			`stable-baselines3==1.6.0`
update tensorboard dependency 2022-08-15 15:07:42 +00:00			`gym==0.21.0`
add sb3_contrib models to the available agents. include sb3_contrib in requirements. 2022-08-21 17:58:36 +00:00			`tensorboard==2.9.1`
			`optuna==2.10.1`
			`sb3-contrib==1.6.0`