I just came across one of these Kernels and couldn't understand what does numpy.log1p() do in the third pipeline of this code (House Prediction dataset in Kaggle). Numpy documentation …

Jan 31, 2021 · The importance of log1p is that the function log (1 + 𝑥) is well-conditioned near zero, and often turns up in numerical algorithms or algebraic rearrangements of other functions.

Apr 12, 2024 · I am using the function numpy.log1p to calculate the value of log(1 + x) for very small complex numbers, and I am getting unexpected results. I would expect that outputs …

Apr 26, 2018 · I transformed my data with: Y = np.log1p(Y) What is the formula to transform the values back to the natural values? back = np.e**Y This did not work.

May 9, 2023 · The function log1p exists to improve the numerical accuracy of the calculation of ln (1+x). See, for instance, this article that gives more explanation for why log1p is necessary. …

Mar 2, 2022 · I fitted a glm model and had to transform some variables with log1p. I now want to create a ggpredict plot with a backtransformed scale. I transformed the variables before using …

Mar 27, 2021 · df.log1p <- log1p(df) mean(df.log1p) This gives us 3.0382116 Now, can I back-transform that single mean value to get the non- log1p mean value of 32.9375? I used …

Oct 12, 2021 · I am new to coding and am doing some gene expression analysis. I have a very naïve question. I have a a few gene expression data frames with gene names as rows and cell …

Aug 3, 2019 · I am encountering a warning during np.log1p: RuntimeWarning: invalid value encountered in log1p, but I can't figure why. As far as I can tell, the input is proper. It contains …

Why are log2 and log1p so much faster than log and log10, in numpy? Asked 10 years ago Modified 3 years, 4 months ago Viewed 12k times