.. _`Image Classifier (Experimental)`:

.. _`com.sympathyfordata.advancedmachinelearning.binaryimageclassifier`:

Image Classifier (Experimental)
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.. image:: image_classifier.svg
   :width: 48


Skorch Binary Image Classifier                    https://skorch.readthedocs.io/en/stable/classifier.html




Documentation
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Attributes
==========

    **Model training history**
        Model training history


Definition
::::::::::


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

    **model**  model
        Model




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

    **Batch size** (batch_size)
        Mini-batch size. If batch size is -1, a single batch with all the data will be used during training and validation.
    **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:: BinaryImageClassifier
    :noindex: