Plotly backend

Plotly backend for plotting methods

orion.plotting.backend_plotly.build_durations_frame(experiments, names=None, with_evc_tree=True, order_by='suggested')

Builds the dataframe for the duration plot

orion.plotting.backend_plotly.build_parallel_frame(experiments, names=None, with_evc_tree=True, order_by='objective')

Builds the dataframe for the parallel assessment

orion.plotting.backend_plotly.build_regrets_frame(experiments, names=None, with_evc_tree=True, order_by='suggested')

Builds the dataframe for regrets plot

orion.plotting.backend_plotly.lpi(experiment, with_evc_tree=True, model='RandomForestRegressor', model_kwargs=None, n_points=20, n_runs=10, **kwargs)

Plotly implementation of orion.plotting.lpi

orion.plotting.backend_plotly.parallel_coordinates(experiment, with_evc_tree=True, order=None, colorscale='YlOrRd', **kwargs)

Plotly implementation of orion.plotting.parallel_coordinates

orion.plotting.backend_plotly.partial_dependencies(experiment, with_evc_tree=True, params=None, smoothing=0.85, n_grid_points=10, n_samples=50, colorscale='Blues', model='RandomForestRegressor', model_kwargs=None, verbose_hover=True)

Plotly implementation of orion.plotting.partial_dependencies

orion.plotting.backend_plotly.rankings(experiments, with_evc_tree=True, order_by='suggested', **kwargs)

Plotly implementation of orion.plotting.rankings

orion.plotting.backend_plotly.regret(experiment, with_evc_tree=True, order_by='suggested', verbose_hover=True, **kwargs)

Plotly implementation of orion.plotting.regret

orion.plotting.backend_plotly.regrets(experiments, with_evc_tree=True, order_by='suggested', build_frame_fn=<function build_regrets_frame>, return_var=False, title='Average Regret', **kwargs)

Plotly implementation of orion.plotting.regrets