.. _auto_ml_get_task_configurations:

*GET ML TASK CONFIGURATIONS*
============================

Retrieves the canonical configuration schema for a specified ML task type (e.g., clustering, regression, classification, PCA, or data-cleaning). Use this worker to discover which parameters and options are available before wiring up a downstream ML worker in a workflow.

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

Tagged: ``autoclean``, ``classification``, ``clustering``, ``configuration``, ``feature_importance``, ``ml``, ``pca``, ``regression``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - ML Task Type
     - task_type
     - select
     - —
     - ✓
     - The ML task type whose configuration schema should be retrieved; select one of the enumerated options (e.g., 'kmeans', 'rfr', 'rfc', 'run_pca', 'autoclean') — required, no default.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - Status
     - status
     - string
     - String indicating whether the configuration retrieval succeeded (e.g., 'success' or an error message).
   * - Results
     - results
     - string
     - JSON-formatted string containing the full parameter schema and default values specific to the selected ML task type (e.g., available hyperparameters, required column names, normalization flags).

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

- ai_ml.model_selection
- ai_ml.preprocessing
- ai_ml.prognosis
- ai_ml.supervised.classification
- ai_ml.supervised.regression
- ai_ml.unsupervised.clustering
- ai_ml.unsupervised.dim_reduction
- platform.workflow

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>platform</code> schema. Worker id: <code>ml_get_task_configurations</code>. Schema hash: <code>4f14ec5ed764</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>