.. _`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.

*Configuration*:


  - *n_samples*

    The total number of points equally divided among clusters.

  - *n_features*

    The number of features for each sample.

  - *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

  - *shuffle*

    Shuffle datapoints (otherwise given in cluster order)



*Input ports*:
    **C** : table
        C

*Output ports*:
    **X** : table
        X
    **Y** : table
        Y



**n_samples** (n_samples)
    The total number of points equally divided among clusters.
**n_features** (n_features)
    The number of features for each sample.
**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
**shuffle** (shuffle)
    Shuffle datapoints (otherwise given in cluster order)

.. automodule:: node_io

.. class:: MakeBlobsFromTable