.. _`Generate dataset blobs from table`:

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

Generate dataset blobs from table
`````````````````````````````````

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


Takes a table describing blob center positions and optionally standard deviations and generates a random dataset. Rows in tablecorresponds to cluster number, and columns to the number of features in the datasets.





Definition
::::::::::


Input ports
...........

    **C**  table
        C


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

    **X**  table
        X

    **Y**  table
        Y




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

    **cluster_std** (cluster_std)
        Column name used to give standard deviation for each cluster. If empty or a float number then the same value is used for each cluster
    **n_features** (n_features)
        The number of features for each sample.
    **n_samples** (n_samples)
        The total number of points equally divided among clusters.
    **shuffle** (shuffle)
        Shuffle datapoints (otherwise given in cluster order)









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

.. automodule:: node_io
    :noindex:

.. class:: MakeBlobsFromTable
    :noindex: