pyquickbench.all_transforms#
- all_transforms = ['pol_growth_order', 'pol_cvgence_order', 'relative_curve_fraction']#
Available data transformations.
List of all available data transformations to be used in
pyquickbench.plot_benchmark()
."pol_growth_order"
: Plots an estimate of \(\alpha\) based on consecutive measured values if the data scales as \(\approx n^\alpha\)."pol_cvgence_order"
: Plots an estimate of \(\alpha\) based on consecutive measured values if the data scales as \(\approx n^{-\alpha}\)."relative_curve_fraction"
: Plots the relative fraction of all displayed curves, so that all curves sum up to \(100\%\).
See Plotting transformed values for usage example.
See Also
pyquickbench.plot_benchmark()
: Plot benchmarks