.. _`Example datasets`:

.. _`org.sysess.sympathy.machinelearning.example_datasets`:

Example datasets
````````````````

.. image:: example_datasets.svg
   :width: 48


Exposes the example datasets from sklearn





Definition
::::::::::


Output ports
............

    **X**
        | Type: table
        | Description: X
    **Y**
        | Type: table
        | Description: Y



Configuration
.............

    **Class names** (classnames)
        Attempts to use class names as Y
    **color** (color)
        (no description)
    **Dataset** (dataset)
        Choose from one of the default toy datasets
    **min_pictures** (min_pictures)
        Minimum number of pictures per person required for including a person in the LFW dataset
    **resize** (resize)
        Resize LFW pictures, default 0.5 give size 62x47 images







Examples
........





The node can be found in:

* :download:`Custom_ParameterSearch.syx </Examples/Sympathy for Data/MachineLearning/Custom_ParameterSearch.syx>`

* :download:`Metrics.syx </Examples/Sympathy for Data/MachineLearning/Metrics.syx>`

* :download:`Hyper_parameters.syx </Examples/Sympathy for Data/MachineLearning/Hyper_parameters.syx>`

* :download:`SampleWeights.syx </Examples/Sympathy for Data/MachineLearning/SampleWeights.syx>`

* :download:`MNIST_Digits.syx </Examples/Sympathy for Data/MachineLearning/MNIST_Digits.syx>`

* :download:`Eigenfaces.syx </Examples/Sympathy for Data/MachineLearning/Eigenfaces.syx>`

* :download:`Fisher_faces.syx </Examples/Advanced Machine Learning/Fisher_faces.syx>`

* :download:`KmeansOutlierRemoval.syx </Examples/Advanced Machine Learning/KmeansOutlierRemoval.syx>`

* :download:`agglomerative_clustering.syx </Examples/Advanced Machine Learning/agglomerative_clustering.syx>`

* :download:`random_forest_regressor.syx </Examples/Advanced Machine Learning/random_forest_regressor.syx>`




Implementation
..............

.. automodule:: node_io
    :noindex:

.. class:: ExampleDatasets
    :noindex: