.. _`Generate dataset blobs`:

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

Generate dataset blobs
~~~~~~~~~~~~~~~~~~~~~~

.. image:: dataset_blobs.svg
   :width: 48


Generates an artificial dataset useful for testing clustering algorithms

:Configuration:


  - *n_samples*

    The total number of points equally divided among clusters.

  - *n_features*

    The number of features for each sample.

  - *centers*

    Number of clusters.

  - *cluster_std*

    Standard deviation of the clusters.

  - *center_min*

    Smallest allowed coordinate for the generated centers

  - *center_max*

    Largest allowed coordinate for the generated centers

  - *shuffle*

    Shuffle datapoints (otherwise given in cluster order)



:Inputs:


:Outputs:
    **X** : table
        X
    **Y** : table
        Y

*Output ports*:
    :X: table

        X
    :Y: table

        Y

*Configuration*:
    **n_samples**
        The total number of points equally divided among clusters.
    **n_features**
        The number of features for each sample.
    **centers**
        Number of clusters.
    **cluster_std**
        Standard deviation of the clusters.
    **center_min**
        Smallest allowed coordinate for the generated centers
    **center_max**
        Largest allowed coordinate for the generated centers
    **shuffle**
        Shuffle datapoints (otherwise given in cluster order)

.. automodule:: node_io

.. class:: MakeBlobs