def view_clm_widget(self,
n_shape_parameters=5,
parameters_bounds=(-3.0, 3.0),
mode='multiple',
figure_size=(7, 7)):
r"""
Visualizes the CLM object using an interactive widget.
Parameters
----------
n_shape_parameters : `int` or `list` of `int` or ``None``, optional
The number of shape principal components to be used for the
parameters sliders. If `int`, then the number of sliders per
scale is the minimum between `n_parameters` and the number of
active components per scale. If `list` of `int`, then a number of
sliders is defined per scale. If ``None``, all the active
components per scale will have a slider.
parameters_bounds : ``(float, float)``, optional
The minimum and maximum bounds, in std units, for the sliders.
mode : {``single``, ``multiple``}, optional
If ``'single'``, only a single slider is constructed along with a
drop down menu. If ``'multiple'``, a slider is constructed for
each parameter.
figure_size : (`int`, `int`), optional
The size of the rendered figure.
Raises
------
ValueError
Only convolution-based expert ensembles can be visualized.
"""
if not isinstance(self.expert_ensembles[0],
ConvolutionBasedExpertEnsemble):
raise ValueError('Only convolution-based expert ensembles can be '
'visualized.')
try:
from menpowidgets import visualize_clm
visualize_clm(self,
n_shape_parameters=n_shape_parameters,
parameters_bounds=parameters_bounds,
figure_size=figure_size,
mode=mode)
except:
from menpo.visualize.base import MenpowidgetsMissingError
raise MenpowidgetsMissingError()
def view_clm_widget(self, n_shape_parameters=5,
parameters_bounds=(-3.0, 3.0), mode='multiple',
figure_size=(7, 7)):
r"""
Visualizes the CLM object using an interactive widget.
Parameters
----------
n_shape_parameters : `int` or `list` of `int` or ``None``, optional
The number of shape principal components to be used for the
parameters sliders. If `int`, then the number of sliders per
scale is the minimum between `n_parameters` and the number of
active components per scale. If `list` of `int`, then a number of
sliders is defined per scale. If ``None``, all the active
components per scale will have a slider.
parameters_bounds : ``(float, float)``, optional
The minimum and maximum bounds, in std units, for the sliders.
mode : {``single``, ``multiple``}, optional
If ``'single'``, only a single slider is constructed along with a
drop down menu. If ``'multiple'``, a slider is constructed for
each parameter.
figure_size : (`int`, `int`), optional
The size of the rendered figure.
Raises
------
ValueError
Only convolution-based expert ensembles can be visualized.
"""
if not isinstance(self.expert_ensembles[0],
ConvolutionBasedExpertEnsemble):
raise ValueError('Only convolution-based expert ensembles can be '
'visualized.')
try:
from menpowidgets import visualize_clm
visualize_clm(self, n_shape_parameters=n_shape_parameters,
parameters_bounds=parameters_bounds,
figure_size=figure_size, mode=mode)
except:
from menpo.visualize.base import MenpowidgetsMissingError
raise MenpowidgetsMissingError()