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generateLearningCurve evaluates on full training set instead of subsample #1357

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larskotthoff opened this issue Nov 25, 2016 · 0 comments
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generateLearningCurve evaluates on full training set instead of subsample #1357

larskotthoff opened this issue Nov 25, 2016 · 0 comments
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@larskotthoff
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Original source: https://stackoverflow.com/questions/40765180/r-mlr-creating-learning-curve-from-subset-of-training-data-and-whole-test-data

It looks like during the generation of the learning curve the model is evaluated on the entire training data instead of the subsample taken during that iteration.
larskotthoff pushed a commit that referenced this issue Nov 27, 2016
check for sampled training task in resampling (fixes #1357)
0b00b98
larskotthoff pushed a commit that referenced this issue Dec 5, 2016
check for sampled training task in resampling (fixes #1357)
6800a1b
smilesun pushed a commit that referenced this issue Feb 9, 2017
@larskotthoff @smilesun
check for sampled training task in resampling (fixes #1357) (#1362)
e0bb51d 
* check for sampled training task in resampling (fixes #1357)

* fix test for sampling wrapper
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