.. _`Tabular Regressor (Experimental)`:

.. _`com.sympathyfordata.advancedmachinelearning.tabularregressor`:

Tabular Regressor (Experimental)
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.. image:: table_classifier.svg
   :width: 48


Skorch Table Regressor                    https://skorch.readthedocs.io/en/stable/regressor.html




Documentation
:::::::::::::

Attributes
==========

    **history_**
        Model training history


Definition
::::::::::


Output ports
============

    **model**  model
        Model




Configuration
=============

    **Number of categories for each categorical column** (cat_dims)
        Number of categories for each categorical column
    **Embedding dimension for each categorical column** (cat_emb_dim)
        Embedding dimension for each categorical column
    **Ids of categorical columns** (cat_idxs)
        Ids of categorical columns
    **Cross validation** (cross_validation)
        Cross validation
    **Early stopping** (early_stopping)
        Early stopping
    **Learning rate** (lr)
        Learning rate
    **Maximum number of epochs** (max_epochs)
        The number of epochs to train for each fit.
    **Optimizer** (optimizer)
        The optimizer (update rule) used to optimize the module









Implementation
==============

.. automodule:: node_neuralnetwork
    :noindex:

.. class:: TabularRegressor
    :noindex: