ewoksxas.fit.data

Shared 1D x/y data primitives and goodness-of-fit metrics for the backends.

Both fitting backends (ewoksxas.fit.lca_fit and ewoksxas.fit.peak_fit) use these: the ArrayF64/IterableF64/ DataDict aliases, the as_1d_array() helper, the immutable XYData container for observations and fitted curves, and the r2()/rmse() goodness-of-fit metrics (the latter also used by the interactive Orange fit panel to report the quality of a fitted model).

Functions

as_1d_array(iterable)	Converts a 1D numeric iterable into a flattened 1D numpy array.
r2(observed, model)	Coefficient of determination of a model against the observed data.
rmse(observed, model)	Root-mean-square error of a model against the observed data.

Classes

XYData(*, x, y)

An immutable container for 1D X and Y data.