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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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0 answers
742 views

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 …
James Arten's user avatar
1 vote
2 answers
2k views

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'] …
James Arten's user avatar
0 votes
0 answers
19 views

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 …
James Arten's user avatar