Instructions to use AnguloM/LoanSmart_Predict_Loan_Approval_with_Confidence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AnguloM/LoanSmart_Predict_Loan_Approval_with_Confidence with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AnguloM/LoanSmart_Predict_Loan_Approval_with_Confidence", "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
Upload requirements.txt
Browse files- requirements.txt +9 -0
requirements.txt
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pandas==1.5.3
|
| 2 |
+
numpy==1.23.4
|
| 3 |
+
scikit-learn==1.2.0
|
| 4 |
+
imbalanced-learn==0.10.1
|
| 5 |
+
seaborn==0.11.2
|
| 6 |
+
matplotlib==3.6.2
|
| 7 |
+
gradio==3.28.0
|
| 8 |
+
joblib==1.2.0
|
| 9 |
+
huggingface_hub==0.15.1
|