.. _auto_dataset_normalize_fit:

*DATASET NORMALIZE (FIT)*
=========================

Standardizes numeric dataset columns using only available (non-missing) values and emits the fitted mean/std parameters as a reusable dataset. Computes population standard deviation (ddof=0); skips id/mid/*_id and non-numeric columns; clamps std<1e-12 to 1.0. Use this on the TRAINING dataset, then feed the 'parameters' output into dataset_normalize_apply (to transform a testing dataset with the same parameters) and dataset_normalize_inverse (to recover raw values after prediction).

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

Tagged: ``normalization``, ``standardize``, ``zscore``, ``scaling``, ``fit``, ``missing_values``, ``preprocessing``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Dataset
     - dataset
     - dataset
     - —
     - ✓
     - Training dataset to fit and normalize; array-of-row-objects.
   * - Columns
     - columns
     - text
     - —
     - 
     - Optional explicit list of columns to normalize; leave empty to auto-select all numeric columns. id/mid/*_id and non-numeric columns are always skipped.
   * - Skip Columns
     - skip_columns
     - text
     - —
     - 
     - Optional extra columns to exclude from normalization (in addition to the automatic id/mid/*_id skip).

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - Normalized Dataset
     - dataset
     - dataset
     - Input dataset with the selected numeric columns standardized to zero mean / unit std (over available values).
   * - Normalization Parameters
     - parameters
     - dataset
     - One row per normalized column with fields column, mean, std. Reuse with dataset_normalize_apply / dataset_normalize_inverse.
   * - Status
     - status
     - string
     - Summary of how many columns were normalized vs skipped.

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

- data.dataset.transform
- data.statistics

.. raw:: html

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   Auto-generated from <code>platform</code> schema. Worker id: <code>dataset_normalize_fit</code>. Schema hash: <code>fc4b37b50281</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>