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prof.to.features fails when executed on mbr_test0_cdf.Rds data with shape.model=Gaussian.
prof.to.features
mbr_test0_cdf.Rds
shape.model=Gaussian
The error occurs at the runtime of normix() function which tries to access a value out of range during iteration:
normix()
for (m in 1:l) { w[m, ] <- dnorm(x, mean = miu[m], sd = sigma[m]) * sc[m] / all.w }
There are cases when l(lowercase L) is 0. In such cases iteration goes from 1 to 0 but the indexing in R starts at 1.
l
0
1
Steps:
The text was updated successfully, but these errors were encountered:
Lets first have a look and try some simpler solutions before spending too much time on it.
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Description
prof.to.features
fails when executed onmbr_test0_cdf.Rds
data withshape.model=Gaussian
.The error occurs at the runtime of
normix()
function which tries to access a value out of range during iteration:There are cases when
l
(lowercase L) is0
. In such cases iteration goes from1
to0
but the indexing in R starts at 1.Steps:
prof.to.features
function with the peak shape parameter set to Gaussian by adding a test case which reproduces this errorThe text was updated successfully, but these errors were encountered: