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<!-- NEWS.md is maintained by https://cynkra.github.io/fledge, do not edit --> |
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# simplerspec 0.2.1 |
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- `fit_pls()`: Fixed the join of predicted vs. measured values when choosing |
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evaluation with cross-validation; now predictions and model evaluation |
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statistics are reported at best `ncomp`. Instead of an `dplyr::inner_join()`, |
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all cross-validated predictions were done with `dplyr::anti_join()`, |
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specifically when using `evaluation_method == "resampling"` together with |
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`tuning_method == "resampling"`. This resulted in predictions incorrectly |
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being aggregated for all tested but not best ncomp (calculated in caret). |
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Thus, also the cross-validation metrics were not correctly reported what |
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should have been the case at optimal `ncomp` derived based on resampling and |
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model tuning. The fix now correctly does an inner join, so that only the |
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values at best `ncomp` are extracted and used for the evaluation statistics. |
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This is also shown on the resulting plot outputs. |
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# simplerspec 0.2.0 |
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- Add new example data set `soilspec_yamsys`. |
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