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Post: I2ml Insurance #68
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pfistfl
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insurance post should be able to merge now 👍 |
pfistfl
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pfistfl
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pfistfl
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| By initiating a benchmarking process, we can combine all candidate models in one single nested resampling process. | ||
| All we have to do is to define a grid with the regression task, the (tuned) learners and the outer resampling strategy. | ||
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| ```{r benchmark, echo=TRUE, eval=longrun} |
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jap but in the first time the chunk wont be shown but evaluated, to have access to the autotuners...
In the second chapter "outer loop" this chunk is shown but not evaluated to vizualize that benchmarking is done now....
Guess the text and order makes sense once you knit it...
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pfistfl
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i2mlr course Use Case: Medical Costs is ready for review now.
breaking changes from mlr3tuning are already implemented.