DATASET_PCA_WORKERS
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.. _datasetpcaworkers:


DATASET_PCA_FIT Worker 
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Overview
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A new worker, ``DATASET_PCA_FIT``, has been added to Workflows.

This worker fits a Principal Component Analysis (PCA) model on selected numeric dataset columns, generating the PCA parameters required for dimensionality reduction and feature transformation workflows.

The resulting PCA model can be reused by downstream workers to transform datasets consistently without refitting the PCA model.

Key Features
------------

- Added support for the ``DATASET_PCA_FIT`` worker in Workflows
- Fits a PCA model on selected numeric dataset columns
- Generates reusable PCA model parameters
- Supports dimensionality reduction workflows
- Integrates with downstream PCA transformation processes


.. thumbnail:: /_images/Images/datasetpcafitworker.png
   :title:

   DATASET_PCA_FIT

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DATASET_PCA_TRANSFORM Worker
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Overview
--------

A new worker, ``DATASET_PCA_TRANSFORM``, is now available in Workflows.

This worker projects selected numeric dataset columns into the principal component space using transformation parameters generated by the ``DATASET_PCA_FIT`` worker. The transformation is applied using a previously fitted PCA model, ensuring consistent dimensionality reduction without refitting.

Key Features
------------

- Added support for the ``DATASET_PCA_TRANSFORM`` worker in Workflows
- Projects numeric dataset columns into principal component space
- Uses PCA transformation parameters generated by ``DATASET_PCA_FIT``
- Applies dimensionality reduction without refitting the PCA model
- Supports consistent feature transformation across datasets



.. thumbnail:: /_images/Images/datasetpcatransformworker.png
   :title:

   DATASET_PCA_TRANSFORM

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DATASET_PCA_INVERSE Worker 
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Overview
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A new worker, ``DATASET_PCA_INVERSE``, is now available in Workflows.

This worker performs the inverse PCA transformation, converting data from the principal component space back into the original feature space using the transformation parameters generated by the ``DATASET_PCA_FIT`` worker.

The worker enables users to reconstruct original dataset values from PCA-transformed data, supporting interpretation, validation, and downstream analysis workflows.

Key Features
------------

- Added support for the ``DATASET_PCA_INVERSE`` worker in Workflows
- Reconstructs data from principal component space back to the original feature space
- Uses PCA parameters generated by ``DATASET_PCA_FIT``
- Supports inverse transformation without refitting the PCA model
- Integrates seamlessly with PCA fit and transform workflows

.. thumbnail:: /_images/Images/datasetpcainverseworker.png
   :title:

   DATASET_PCA_INVERSE

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