NORMALIZE THE CURVE USING STATS

Reverses a prior normalization operation on a curve by applying the inverse of either Standard Scaler or Min-Max scaling, using the original raw-curve statistics. Use this worker to recover physical-unit curve values after a normalization step in a pre/post-processing pipeline.

When to use

Classification: process.

Tagged: curve, denormalize, inverse_transform, minmax, normalization, signal, standardscaler.

Inputs

Label ID Type Default Required Description
Curve 1 curve1 vector   The normalized input curve (vector of X/Y pairs) to be de-normalized; connect the output of the upstream normalization worker.
Normalizetype normalizetype string standardscaler   Normalization scheme to invert: ‘standardscaler’ (zero-mean, unit-variance inverse) or ‘minmax’ (min–max range inverse); must match the method used during the original normalization step. Default: ‘standardscaler’.
Axis axis string x   Axis or axes on which to apply the inverse transform: ‘x’ (X-axis only), ‘y’ (Y-axis only), or ‘xy’ (both axes). Default: ‘x’.
Un-normalized Statistics un-normalized_statistics keyvalue   Key-value map of descriptive statistics (e.g., mean, std, min, max) computed from the original raw curve; these values drive the inverse scaling and must originate from the paired normalization worker.

Outputs

Label ID Type Description
curve_denormalize_output_1 curve_denormalize_output_1 vector De-normalized output curve (vector of X/Y pairs) with values restored to the original physical-unit scale.

Disciplines

  • ai_ml.preprocessing
  • data.curve.transform
  • data.signal_processing

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curve_denormalize


Auto-generated from transformation schema. Worker id: curve_denormalize. Schema hash: 772d443c9224. Hand-curated docs in workerexamples/ override this page when present.