From 764684940542ac3b4a37c8d6d5b981371677c717 Mon Sep 17 00:00:00 2001 From: chas s Date: Mon, 20 Nov 2023 23:25:28 -0600 Subject: [PATCH] Removed redundant 'cpu_count' --- docs/freqai-parameter-table.md | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/freqai-parameter-table.md b/docs/freqai-parameter-table.md index 95687c7ab..905ea479a 100644 --- a/docs/freqai-parameter-table.md +++ b/docs/freqai-parameter-table.md @@ -74,7 +74,6 @@ Mandatory parameters are marked as **Required** and have to be set in one of the | | **Reinforcement Learning Parameters within the `freqai.rl_config` sub dictionary** | `rl_config` | A dictionary containing the control parameters for a Reinforcement Learning model.
**Datatype:** Dictionary. | `train_cycles` | Training time steps will be set based on the `train_cycles * number of training data points.
**Datatype:** Integer. -| `cpu_count` | Number of processors to dedicate to the Reinforcement Learning training process.
**Datatype:** int. | `max_trade_duration_candles`| Guides the agent training to keep trades below desired length. Example usage shown in `prediction_models/ReinforcementLearner.py` within the customizable `calculate_reward()` function.
**Datatype:** int. | `model_type` | Model string from stable_baselines3 or SBcontrib. Available strings include: `'TRPO', 'ARS', 'RecurrentPPO', 'MaskablePPO', 'PPO', 'A2C', 'DQN'`. User should ensure that `model_training_parameters` match those available to the corresponding stable_baselines3 model by visiting their documentaiton. [PPO doc](https://stable-baselines3.readthedocs.io/en/master/modules/ppo.html) (external website)
**Datatype:** string. | `policy_type` | One of the available policy types from stable_baselines3
**Datatype:** string.