Comments (1)
The current implementation now removes any rows that have a nan in either the measured or predicted rates prior to downsampling. In addition, when running the command line tool to score an entire dataset, we take the nanmedian
of scores across neurons. In my testing I occasionally found NaNs in the output of the optimization function for the loglik
computation for just one neuron, though I wasn't entirely sure why, probably worth tracking down.
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Related Issues (5)
- evaluation metrics HOT 5
- Multiple submissions HOT 1
- Length checking HOT 1
- Sampling rate HOT 1
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