README.md

---
license: mit
tags:
- sklearn
- random-forest
- calibrated-classifier
library_name: sklearn
---

# Calibrated Random Forest Classifier

This is a calibrated Random Forest classifier trained with scikit-learn on two-photon (2p) ganglion cell layer (GCL) responses from the mouse retina.
The training data is from Baden et al. 2016 (https://datadryad.org/dataset/doi:10.5061/dryad.d9v38).

## Usage
```python
from gcl_classifier import model

predictions = model.predict(X_test)
probabilities = model.predict_proba(X_test)
```