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Using AnomalyDetection in parallel or in any forked environment fails #60

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jcpetkovich opened this issue Sep 29, 2015 · 0 comments · May be fixed by #61
Open

Using AnomalyDetection in parallel or in any forked environment fails #60

jcpetkovich opened this issue Sep 29, 2015 · 0 comments · May be fixed by #61

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@jcpetkovich
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Using AnomalyDetection in parallel across a data.frame currently fails with the following error:

Error in (function (display = \"\", width, height, pointsize, gamma, bg,  :  
    a forked child should not open a graphics device

Here is a trivial example to reproduce the problem:

library(parallel)
library(AnomalyDetection)
mclapply(as.data.frame(ts.union(BJsales, BJsales.lead)), AnomalyDetectionVec, period = 5)

Which produces the above errors.
jcpetkovich added a commit to jcpetkovich/AnomalyDetection that referenced this issue Oct 6, 2015
@jcpetkovich
When plot = FALSE, don't call plot.new
fd74906 
plot.new() is generally unfriendly to call unless it will actually be
used for drawing, and certainly not if we ask for no plots to be
created.

plot.new triggers the completion of the previous plotting action, and as
such can't be used in combination with any multithreading or forked R
processes.

plot.new also does not return a "plot" object, it always returns `NULL`,
so although it appears to be used here as a way of returning a "null
plot", all that really happens is that AnomalyDetection* returns
`list(..., plot = NULL)`.

This commit resolves twitter#60
@jcpetkovich jcpetkovich linked a pull request Oct 6, 2015 that will close this issue
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@isalgueiro isalgueiro mentioned this issue Nov 24, 2017
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When plot = FALSE, don't call plot.new jcpetkovich/AnomalyDetection
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@jcpetkovich