seg1d.Segmenter.set_target

Segmenter.set_target(t, copy=True)

Sets the target data by overiding any existing target. If the target is not a dict, it will be converted to one.

Parameters:

tdict or ndarray

Dictionary containing labeled features as keys and values as 1-D arrays (must be same size).

ndarray of dimension 1 will be used as a single feature for the target.

ndarray of n-dimensions will use rows as unique features.

copybool, optional

If True, will make a deepcopy of the passed parameter (Default True)

Returns:

None

See also

add_reference

Add a reference item

Notes

This is the recommended method for adding a feature. You can also set the target directly through the Attribute t by `Segmenter.t =  ` however, this method ensures the data labels and length or stored properly. Setting t directly must be done with a dictionary.

Examples

Target data can be set to a single numpy array.

>>> import numpy as np
>>> import seg1d
>>> 
>>> s = seg1d.Segmenter()
>>> t = np.linspace(0,1,4)
>>> s.set_target(t)
>>> s.t
{'0': array([0.        , 0.33333333, 0.66666667, 1.        ])}

Alternatively, you can pass a 2-dimensional array representing multiple features.

>>> s = seg1d.Segmenter()
>>> t = np.linspace(0,1,6).reshape(2,3)
>>> s.set_target(t)
>>> s.t
{'0': array([0. , 0.2, 0.4]), '1': array([0.6, 0.8, 1. ])}