Development build. This page describes main, not a released package. The latest published Lodestar.Preprocessing is 0.2.0 — read its documentation.

Home › Preprocessing › Encoding and imputation

Reads codes back as labels.

public T[] InverseTransform(ReadOnlySpan<int> codes)

Parameters — codes are indices into Classes.

Returns — one label per code.

Exceptions — ArgumentOutOfRangeException when a code is negative or past the last class.

Example — a classifier's predictions, read back as what they name.

using Lodestar.Preprocessing;

string[] cities = ["paris", "lyon", "paris", "nice"];

LabelEncoder<string> encoder = Encoders.Label<string>(cities);

string predicted = string.Join(",", encoder.InverseTransform([2, 0]));   // => paris,lyon

Remarks — this is the round trip the transformers in this package cannot offer, and the reason the encoder is worth holding onto after fitting: nothing was approximated on the way in, so the codes and the labels are the same information under two spellings. A model that reports class 2 is reporting Paris, and this is what says so.

Applies to — net10.0, netstandard2.0.

See also — LabelEncoder.Transform, LabelEncoder.