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Add sb3 learn progress bar
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@ -73,7 +73,8 @@
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10,
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10,
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20
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20
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],
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],
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"plot_feature_importances": 0
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"plot_feature_importances": 0,
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"progress_bar": false
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},
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},
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"data_split_parameters": {
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"data_split_parameters": {
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"test_size": 0.33,
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"test_size": 0.33,
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@ -85,6 +85,7 @@ Mandatory parameters are marked as **Required** and have to be set in one of the
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| `net_arch` | Network architecture which is well described in [`stable_baselines3` doc](https://stable-baselines3.readthedocs.io/en/master/guide/custom_policy.html#examples). In summary: `[<shared layers>, dict(vf=[<non-shared value network layers>], pi=[<non-shared policy network layers>])]`. By default this is set to `[128, 128]`, which defines 2 shared hidden layers with 128 units each.
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| `net_arch` | Network architecture which is well described in [`stable_baselines3` doc](https://stable-baselines3.readthedocs.io/en/master/guide/custom_policy.html#examples). In summary: `[<shared layers>, dict(vf=[<non-shared value network layers>], pi=[<non-shared policy network layers>])]`. By default this is set to `[128, 128]`, which defines 2 shared hidden layers with 128 units each.
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| `randomize_starting_position` | Randomize the starting point of each episode to avoid overfitting. <br> **Datatype:** bool. <br> Default: `False`.
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| `randomize_starting_position` | Randomize the starting point of each episode to avoid overfitting. <br> **Datatype:** bool. <br> Default: `False`.
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| `drop_ohlc_from_features` | Do not include the normalized ohlc data in the feature set passed to the agent during training (ohlc will still be used for driving the environment in all cases) <br> **Datatype:** Boolean. <br> **Default:** `False`
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| `drop_ohlc_from_features` | Do not include the normalized ohlc data in the feature set passed to the agent during training (ohlc will still be used for driving the environment in all cases) <br> **Datatype:** Boolean. <br> **Default:** `False`
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| `progress_bar` | Display a progress bar with the current progress, elapsed time and estimated remaining time. <br> **Datatype:** Boolean. <br> Default: `False`.
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### Additional parameters
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### Additional parameters
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@ -599,6 +599,7 @@ CONF_SCHEMA = {
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"policy_type": {"type": "string", "default": "MlpPolicy"},
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"policy_type": {"type": "string", "default": "MlpPolicy"},
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"net_arch": {"type": "array", "default": [128, 128]},
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"net_arch": {"type": "array", "default": [128, 128]},
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"randomize_startinng_position": {"type": "boolean", "default": False},
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"randomize_startinng_position": {"type": "boolean", "default": False},
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"progress_bar": {"type": "boolean", "default": False},
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"model_reward_parameters": {
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"model_reward_parameters": {
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"type": "object",
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"type": "object",
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"properties": {
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"properties": {
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@ -71,7 +71,8 @@ class ReinforcementLearner(BaseReinforcementLearningModel):
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model.learn(
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model.learn(
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total_timesteps=int(total_timesteps),
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total_timesteps=int(total_timesteps),
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callback=[self.eval_callback, self.tensorboard_callback]
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callback=[self.eval_callback, self.tensorboard_callback],
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progress_bar=self.freqai_info["rl_config"]["progress_bar"]
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)
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)
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if Path(dk.data_path / "best_model.zip").is_file():
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if Path(dk.data_path / "best_model.zip").is_file():
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@ -8,3 +8,6 @@ sb3-contrib==1.7.0; python_version < '3.11'
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# Gym is forced to this version by stable-baselines3.
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# Gym is forced to this version by stable-baselines3.
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setuptools==65.5.1 # Should be removed when gym is fixed.
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setuptools==65.5.1 # Should be removed when gym is fixed.
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gym==0.21; python_version < '3.11'
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gym==0.21; python_version < '3.11'
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# Progress bar for stable-baselines3 and sb3-contrib
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tqdm==4.65.0; python_version < '3.11'
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rich==13.3.3; python_version < '3.11'
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