.. _auto_curve_denormalize:

*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
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - 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
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - 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 <https://www.d3view.com/api/workflow/example?id=curve_denormalize>`_

.. raw:: html

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