Instructions to use Bluepearl/Random-Forest-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bluepearl/Random-Forest-Classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bluepearl/Random-Forest-Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "features": [ | |
| "PassengerId", | |
| "Pclass", | |
| "Name", | |
| "Sex", | |
| "Age", | |
| "SibSp", | |
| "Parch", | |
| "Ticket", | |
| "Fare", | |
| "Cabin", | |
| "Embarked" | |
| ], | |
| "targets": ["Survived"], | |
| "model_type": "random-forest", | |
| "target_mapping": {"Survived": 0, "Survived": 1} | |
| } |