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synapse_target_hks_rf

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bdpedigo commited on Feb 23

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@@ -14,4 +14,6 @@ The parameters for that function are in `parameters.toml`.
 `synapse_hks_model.joblib` takes in the 32 HKS features generated by that pipeline, as well as a column of the distance from each point to the postsynaptic nucleus.
 The model outputs predictions for {"spine", "shaft", "soma"} targets. This is the model used in the paper.
-`simple_hks_model.joblib` uses only the HKS features and outputs {"spine", "not_spine"} labels.

 `synapse_hks_model.joblib` takes in the 32 HKS features generated by that pipeline, as well as a column of the distance from each point to the postsynaptic nucleus.
 The model outputs predictions for {"spine", "shaft", "soma"} targets. This is the model used in the paper.
+`simple_hks_model.joblib` uses only the HKS features and outputs {"spine", "not_spine"} labels.
+Please see the paper above for much more detail on the performance of the classifier and its application. Questions and comments are more than welcome: ben.pedigo@alleninstitute.org.