Tabular Regression
Scikit-learn
Joblib
Indonesian
gradient-boosting
regression
salary-prediction
tabular
Instructions to use Minee12/ds-salary-gradient-boosting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Minee12/ds-salary-gradient-boosting with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Minee12/ds-salary-gradient-boosting", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download contoh_input.json from Minee12/ds-salary-gradient-boosting: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
-
https://huggingface.co/Minee12/ds-salary-gradient-boosting/resolve/main/contoh_input.json
- Command line
-
hf download hf://Minee12/ds-salary-gradient-boosting/contoh_input.json
-
curl -L -o contoh_input.json https://huggingface.co/Minee12/ds-salary-gradient-boosting/resolve/main/contoh_input.json
239 Bytes
| [ | |
| { | |
| "work_year": 2023, | |
| "experience_level": "SE", | |
| "employment_type": "FT", | |
| "job_title": "Data Scientist", | |
| "employee_residence": "US", | |
| "remote_ratio": 100, | |
| "company_location": "US", | |
| "company_size": "M" | |
| } | |
| ] |