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--- |
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license: mit |
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tags: |
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- sklearn |
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- random-forest |
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- calibrated-classifier |
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library_name: sklearn |
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--- |
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# Calibrated Random Forest Classifier |
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This is a calibrated Random Forest classifier trained with scikit-learn on two-photon (2p) ganglion cell layer (GCL) responses from the mouse retina. |
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The training data is from Baden et al. 2016 (https://datadryad.org/dataset/doi:10.5061/dryad.d9v38). |
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## Usage |
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```python |
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from gcl_classifier import model |
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predictions = model.predict(X_test) |
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probabilities = model.predict_proba(X_test) |
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``` |
