Instructions to use molkab/dashboard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use molkab/dashboard with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://molkab/dashboard") - Notebooks
- Google Colab
- Kaggle
| { | |
| "R\u00e9gression Lin\u00e9aire": { | |
| "r2": 0.6954866320001932, | |
| "mae": 0.40106596517703635, | |
| "rmse": 0.7941948272069866, | |
| "rmse_pct": 24.54790675695119, | |
| "temps": 3.4553699493408203 | |
| }, | |
| "Ridge Regression": { | |
| "r2": 0.6956033604116121, | |
| "mae": 0.4010100280415759, | |
| "rmse": 0.7940425941753835, | |
| "rmse_pct": 24.543201359563668, | |
| "temps": 0.649498701095581 | |
| }, | |
| "Random Forest": { | |
| "r2": 0.8007356286018653, | |
| "mae": 0.25191062829185046, | |
| "rmse": 0.6424490621339384, | |
| "rmse_pct": 19.857570375794463, | |
| "temps": 3191.0901625156403 | |
| }, | |
| "Gradient Boosting": { | |
| "r2": 0.8002233510304723, | |
| "mae": 0.252456205962866, | |
| "rmse": 0.6432743501430408, | |
| "rmse_pct": 19.883079347146396, | |
| "temps": 5755.829763889313 | |
| }, | |
| "Extra Trees": { | |
| "r2": 0.8008831061092234, | |
| "mae": 0.2519355843030571, | |
| "rmse": 0.642211276716332, | |
| "rmse_pct": 19.850220624751522, | |
| "temps": 620.5037322044373 | |
| }, | |
| "XGBoost": { | |
| "r2": 0.8005148405358871, | |
| "mae": 0.25057819869636805, | |
| "rmse": 0.6428048854430123, | |
| "rmse_pct": 19.868568580660405, | |
| "temps": 47.70547676086426 | |
| }, | |
| "LightGBM": { | |
| "r2": 0.8010071917790376, | |
| "mae": 0.25040492034613004, | |
| "rmse": 0.6420111389130349, | |
| "rmse_pct": 19.844034530400897, | |
| "temps": 71.80779576301575 | |
| }, | |
| "Baseline Persistance": { | |
| "r2": 0.4664298947738801, | |
| "mae": 0.5153992943491533, | |
| "rmse": 1.051282940926688, | |
| "rmse_pct": 32.49428820859831, | |
| "temps": 0.0 | |
| } | |
| } |