RecurrentPPO Model for Water Quality Index Prediction
This model uses RecurrentPPO with an LSTM policy to predict Water Quality Index (WQI) values.
Model Description
- Model Type: RecurrentPPO
- Policy: MlpLstmPolicy
- Training Steps: 10000
- Average MAPE: 22.08%
Usage
from sb3_contrib import RecurrentPPO
# Load the model
model = RecurrentPPO.load("nctstuti/ds_btl")
# Make predictions
obs = your_observation # Shape should match your feature space
action, _states = model.predict(obs)
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