.. _auto_dataset_normalize_inverse:

*DATASET NORMALIZE (INVERSE)*
=============================

Inverts a normalization to recover raw values: raw = normalized * std + mean, using the mean/std parameters from dataset_normalize_fit. Only columns present in the parameters are inverted; all other columns pass through unchanged. Use after prediction (and after inverse PCA) to return predicted columns to their original physical scale.

When to use
-----------

Tagged: ``normalization``, ``denormalize``, ``inverse``, ``scaling``, ``postprocessing``, ``prediction``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Dataset
     - dataset
     - dataset
     - —
     - ✓
     - Normalized dataset to invert back to raw scale; array-of-row-objects.
   * - Normalization Parameters
     - parameters
     - dataset
     - —
     - ✓
     - Parameters dataset produced by dataset_normalize_fit; rows of {column, mean, std}.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - Raw Dataset
     - dataset
     - dataset
     - Input dataset with normalized columns converted back to raw scale (normalized * std + mean).
   * - Status
     - status
     - string
     - Summary of how many columns were inverted.

Disciplines
-----------

- data.dataset.transform
- data.statistics

.. raw:: html

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   Auto-generated from <code>platform</code> schema. Worker id: <code>dataset_normalize_inverse</code>. Schema hash: <code>7297d8eb67bb</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>