pdstools.infinity.resources.prediction_studio.base
==================================================

.. py:module:: pdstools.infinity.resources.prediction_studio.base


Classes
-------

.. autoapisummary::

   pdstools.infinity.resources.prediction_studio.base.ModelInstance
   pdstools.infinity.resources.prediction_studio.base.AsyncModelInstance


Module Contents
---------------

.. py:class:: ModelInstance(client, **payload)

   Bases: :py:obj:`_ModelInstanceMixin`, :py:obj:`pdstools.infinity.internal._resource.SyncAPIResource`


   Behaviour wrapper around a :class:`ModelInstanceData` payload.

   The raw API payload is validated into ``self._data`` (a Pydantic model).
   Attribute reads fall through to ``_data`` via ``__getattr__``, so
   ``instance.instance_id`` etc. keep working, while ``_public_dict`` /
   ``_public_fields`` are sourced from ``_data`` so the ``return_df=True``
   code paths (``list_instances``) produce a stable, fully-populated schema.


.. py:class:: AsyncModelInstance(client, **payload)

   Bases: :py:obj:`_ModelInstanceMixin`, :py:obj:`pdstools.infinity.internal._resource.AsyncAPIResource`


   Behaviour wrapper around a :class:`ModelInstanceData` payload.

   The raw API payload is validated into ``self._data`` (a Pydantic model).
   Attribute reads fall through to ``_data`` via ``__getattr__``, so
   ``instance.instance_id`` etc. keep working, while ``_public_dict`` /
   ``_public_fields`` are sourced from ``_data`` so the ``return_df=True``
   code paths (``list_instances``) produce a stable, fully-populated schema.