@ -33,7 +33,7 @@ Therefore, since our objective is to stabilize the cart, the target "time series
You can generate your own data with:
```bash
python data.py
python sample.py
```
Note: if you change the presumed sample space in `data.py`, you should make the corresponding changes to the initial distribution in `main.py`.
@ -20,7 +20,7 @@ def train(data):
D["u"] = D["i"] * D["o"] / D["p"]
mud_point_idx = D["u"].argmax()
mud_point = D["lam"].iloc[mud_point_idx]
print(f"MUD Point ({mud_point_idx}: {mud_point}")
print(f"MUD Point {mud_point_idx}: {mud_point}")
return mud_point