Text Classification
Keras
Scikit-learn
English
patient-readmission
predictive-model
healthcare
LightGBM
Instructions to use prabinpanta0/Patient-Readmission-Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use prabinpanta0/Patient-Readmission-Prediction with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://prabinpanta0/Patient-Readmission-Prediction") - Scikit-learn
How to use prabinpanta0/Patient-Readmission-Prediction with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("prabinpanta0/Patient-Readmission-Prediction", "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
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