Log1p / Computation Layer

Calculate natural logarithm of (1 + x) for each value in a numeric column. Similar to numpy.log1p(), pandas.eval('log1p()'), or R's log1p() function. More accurate than log(1 + x) for small values of x.

Mathematical form: $$y_i=\ln (1+x_i)$$ where $i$ is the row index.

Common applications:

• Small value analysis (when x is close to zero)
• Financial returns (log returns in finance)
• Probability calculations (log-likelihood)
• Machine learning (loss functions)
• Statistical modeling (link functions)
• Numerical stability in computations
• Growth rate calculations

Note: Input values must be greater than -1. Provides better numerical precision than log(1 + x) for small x.