desdeo_vis.widget

This module contains Jupyter widgets for interactively specifying preferences as well as interactively and non-interactively displaying solutions.

class desdeo_vis.widget.VegaWidget(**kwargs)

Bases: ipywidgets.widgets.domwidget.DOMWidget

__module__ = 'desdeo_vis.widget.widgets'

spec

An instance of a Python dict.

class desdeo_vis.widget.NimbusPrefWidget(results, problem, max_as_min=None, **kwargs)

Bases: desdeo_vis.widget.widgets.ParplotWidget

A NIMBUS preference selection widget. This allows for graphical selection of preferences in the form NIMBUS requires.

__init__(results, problem, max_as_min=None, **kwargs)

Parameters:

• results – The solutions to plot.
• problem – The DESDEO problem with which the plot is made with respect to.
• max_as_min – Whether to reformulate maximized functions as minimized functions.

__module__ = 'desdeo_vis.widget.widgets'

nimbus_clf(meth)

Get the NIMBUS preference currently selected with the widget as a NIMBUSClassification. Raises a InvalidNimbusPreferencesException if an invalid preference is chosen.

Return type:NIMBUSClassification

prefs

An instance of a Python list.

prob

A trait for unicode strings.

class desdeo_vis.widget.ParplotWidget(results, problem, max_as_min=None, **kwargs)

Bases: desdeo_vis.widget.widgets.VegaWidget

A parallel plot widget to display solutions to a multi-objective optimization problem.

__init__(results, problem, max_as_min=None, **kwargs)

Parameters:

• results – The solutions to plot.
• problem – The DESDEO problem with which the plot is made with respect to.
• max_as_min – Whether to reformulate maximized functions as minimized functions.

__module__ = 'desdeo_vis.widget.widgets'

cur_max_as_min

A boolean (True, False) trait.

maximized

An instance of a Python list.

orig_max_as_min

A boolean (True, False) trait.

update_max_as_min

update_spec()