Generate dataset blobs from table

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)

class node_io.MakeBlobsFromTable