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Mathematical re-expression, often nonlinear, of data values. Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable.
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Log-ratio transformations, Aitchison Geometry, why logs?
I'm recently diving into the field of compositional data analysis and I'm still wondering why the log transformations that Aitchison proposes work.
What I understand is that, having a $D$- part compos …
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Reversing Log-transformed target after training : r2 score interpretation
I have been running a log-transform on my target values because the distribution appears to be highly right skewed as you can see in the picture.
After having called
df['target'] = np.log(df['target'] …
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Leaving duplicated entries in a dataset at pretraining stage
I'm adopting a fine-tuning approach after having pretrained a deep learning model (transformer) on a source dataset (let's call it dataset A) and then fine-tuning it on a target dataset (B). Dataset A …