| | --- |
| | 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) |
| | ``` |
