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probcal is implemented in R. It has no Python dependency
at runtime. During development, optional tests compare selected outputs
against external reference implementations. These tests provide evidence
that shared methods follow the same numerical definitions where the APIs
overlap.
validation_targets <- data.frame(
reference = c("Python netcal", "Python netcal", "Python netcal", "R betacal"),
compared = c(
"ece(), mce(), ace()",
"multiclass confidence ECE and temperature scaling",
"cal_histogram() with equal-width bins",
"cal_beta() predictions"
),
test_file = c(
"test-netcal.R",
"test-netcal-multiclass.R",
"test-netcal.R",
"test-betacal.R"
)
) |>
mutate(runtime_dependency = "no")
validation_targets
#> reference compared
#> 1 Python netcal ece(), mce(), ace()
#> 2 Python netcal multiclass confidence ECE and temperature scaling
#> 3 Python netcal cal_histogram() with equal-width bins
#> 4 R betacal cal_beta() predictions
#> test_file runtime_dependency
#> 1 test-netcal.R no
#> 2 test-netcal-multiclass.R no
#> 3 test-netcal.R no
#> 4 test-betacal.R noThe tests skip when the optional dependency is unavailable. This is intentional: users should be able to install and use the package without Python.
Some netcal methods expose broader behavior than the
current scope of probcal. For example, netcal
includes detection calibration, Bayesian fitting, and optimizer-specific
constraints. Those features are outside the current package scope.
The initial validation therefore focuses on functions where the numerical contract is directly comparable: confidence calibration metrics and equal-width histogram binning. Additional comparisons can be added once each convention is matched explicitly.
The ordinary test suite runs without Python. To run the Python-backed
checks, install reticulate, configure Python for
reticulate, and install netcal in that Python
environment. Then run the package tests in the usual way.
The betacal check runs when the R package
betacal is installed.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.