Added Half-Normal & Log-Normal Distributions #1063
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Signed-off-by: Max <mcschrader@crimson.ua.edu>
Signed-off-by: mschrader15 <mcschrader@crimson.ua.edu>
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Nice, thanks. I'll look into merging this soon. |
jkleckner
reviewed
Nov 4, 2023
| There are two ways to initialize this object. The first is to pass in | ||
| the tensor of probablity parameters, at which point they can immediately be | ||
| used. The second is to not pass in the rate parameters and then call | ||
| either `fit` or `summary` + `from_summaries`, at which point the probability |
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Nit: summary -> summarize
jkleckner
reviewed
Nov 4, 2023
| There are two ways to initialize this object. The first is to pass in | ||
| the tensor of probablity parameters, at which point they can immediately be | ||
| used. The second is to not pass in the rate parameters and then call | ||
| either `fit` or `summary` + `from_summaries`, at which point the probability |
Signed-off-by: Max <mcschrader@crimson.ua.edu>
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Sorry for the delay in approval. Would you mind adding in unit tests, of the style of the other distributions? |
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Otherwise this LGTM |
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I had a use case for a mixture model of half-normal & lognormal distributions. I did a quick implementation by sub-classing the normal distribution.
Missing tests, but this suffices for my use-case