Tabular Classification
Scikit-learn
logistic-regression
ai-governance
model-card
fairlearn
public-sector
outreach
fairness
Instructions to use drdavidprivacy/reachfirst-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use drdavidprivacy/reachfirst-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("drdavidprivacy/reachfirst-model", "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 reachfirst_v1_Inside.csv from drdavidprivacy/reachfirst-model: direct link, hf CLI and curl.
- Browser
- Download file 1.88 kB
-
https://huggingface.co/drdavidprivacy/reachfirst-model/resolve/main/reachfirst_v1_Inside.csv
- Command line
-
hf download hf://drdavidprivacy/reachfirst-model/reachfirst_v1_Inside.csv
-
curl -L -o reachfirst_v1_Inside.csv https://huggingface.co/drdavidprivacy/reachfirst-model/resolve/main/reachfirst_v1_Inside.csv
1.88 kB
| column,weight | |
| age,-0.307913 | |
| capital-gain,-2.241787 | |
| capital-loss,-0.244568 | |
| capital_gain_topcoded_0,0.069122 | |
| capital_gain_topcoded_1,0.004378 | |
| education_10th,0.780588 | |
| education_11th,0.77732 | |
| education_12th,0.438019 | |
| education_1st-4th,0.779267 | |
| education_5th-6th,0.951605 | |
| education_7th-8th,1.194875 | |
| education_9th,1.011713 | |
| education_Assoc-acdm,-0.400476 | |
| education_Assoc-voc,-0.354607 | |
| education_Bachelors,-0.963726 | |
| education_Doctorate,-1.63664 | |
| education_HS-grad,0.093817 | |
| education_Masters,-1.226999 | |
| education_Preschool,0.475001 | |
| education_Prof-school,-1.588695 | |
| education_Some-college,-0.257561 | |
| hours-per-week,-0.337606 | |
| marital-status_Divorced,0.359708 | |
| marital-status_Married-AF-spouse,-0.603689 | |
| marital-status_Married-civ-spouse,-1.331831 | |
| marital-status_Married-spouse-absent,0.191064 | |
| marital-status_Never-married,0.757608 | |
| marital-status_Separated,0.289197 | |
| marital-status_Widowed,0.411442 | |
| occupation_?,0.275404 | |
| occupation_Adm-clerical,-0.077988 | |
| occupation_Armed-Forces,-0.101363 | |
| occupation_Craft-repair,-0.120038 | |
| occupation_Exec-managerial,-0.854137 | |
| occupation_Farming-fishing,0.877284 | |
| occupation_Handlers-cleaners,0.624237 | |
| occupation_Machine-op-inspct,0.268241 | |
| occupation_Other-service,0.78184 | |
| occupation_Priv-house-serv,0.497719 | |
| occupation_Prof-specialty,-0.672945 | |
| occupation_Protective-serv,-0.448609 | |
| occupation_Sales,-0.369173 | |
| occupation_Tech-support,-0.618966 | |
| occupation_Transport-moving,0.011993 | |
| relationship_model_Not-in-family,-0.346824 | |
| relationship_model_Other-relative,0.436608 | |
| relationship_model_Own-child,0.611011 | |
| relationship_model_Spouse,-0.717949 | |
| relationship_model_Unmarried,0.090653 | |
| workclass_?,0.272364 | |
| workclass_Federal-gov,-0.578232 | |
| workclass_Local-gov,0.040534 | |
| workclass_Never-worked,0.00304 | |
| workclass_Private,-0.08277 | |
| workclass_Self-emp-inc,-0.313345 | |
| workclass_Self-emp-not-inc,0.405848 | |
| workclass_State-gov,0.220326 | |
| workclass_Without-pay,0.105734 | |
| (intercept),2.818319 | |