PrincipalComponentsModel train

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train(self, frame, observation_columns, mean_centered=True, k=None)

Build principal components model.

Parameters:

frame : <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e686f3fd0>>

A frame to train the model on.

observation_columns : list

List of column(s) containing the observations.

mean_centered : bool (default=True)

Option to mean center the columns

k : int32 (default=None)

Principal component count. Default is the number of observation columns

Returns:

: dict

Values of the principal components model object storing:

principal components count used to train the model,

the list of observation columns on which the model was trained,

the singular values vector and the vFactor matrix stored as an array of double values.

Creating a Principal Components Model using the observation columns.