add mlr3 and renv gallery post #141
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be-marc
commented
Dec 6, 2023
be-marc
commented
Dec 6, 2023
be-marc
commented
Dec 6, 2023
| lxy = list(x, y) | ||
| object_size(lx) | ||
| object_size(lxy) | ||
| ``` |
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I like the example because it is easy to understand but it is not clear where this happens in mlr3. Maybe mention the repeated storing of our objects in benchmark results.
be-marc
commented
Dec 6, 2023
| ``` | ||
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| When serializing `mlr3` objects, it can happen that their size is much larger than expected. |
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Maybe start with non-technical term like storing mlr3 objects.
be-marc
commented
Dec 6, 2023
| Because `Learner`s store the hyperparameters that were used for training in their `$state`, it is important to ensure that their size is small. | ||
| One cause for large sizes of parameter values is the presence of source references in the function's attributes. | ||
| Source references are kept when installing packages with the `--with-keep.source` option. | ||
| Note that this option is enabled by default when installing packages with `renv`. |
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Mention that installing with source refs is not the normal case but I would point out renv earlier. How can I check that mlr3 was installed with source refs?
be-marc
commented
Dec 6, 2023
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| Another -- easily amendable -- source for large object sizes is forgetting to set the right flags. | ||
| The list below contains some important configuration options that can be used to reduce the size of important `mlr3` objects: | ||
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Link to the book. This is explained in detail there.
be-marc
commented
Dec 6, 2023
| We will update this post as new problems come to our attention. | ||
| Note that while some of these issues might seem neglibile, they can cause serious problems when running large benchmrk experiments, e.g. using `mlr3batchmark`. | ||
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| ## Avoid Installating Packages With Source References |
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Maybe mention renv right in the heading.
Co-authored-by: Marc Becker <[email protected]>
Co-authored-by: Marc Becker <[email protected]>
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