deep_bottleneck.plotter package

Submodules

deep_bottleneck.plotter.activations module

class deep_bottleneck.plotter.activations.ActivityPlotter(run, dataset)

Bases: deep_bottleneck.plotter.base.BasePlotter

plot(measures_summary)

plotname = 'activations'

deep_bottleneck.plotter.activations.load(run, dataset)

deep_bottleneck.plotter.activations_single_neuron module

class deep_bottleneck.plotter.activations_single_neuron.SingleNeuronActivityPlotter(run, dataset)

Bases: deep_bottleneck.plotter.base.BasePlotter

plot(measures_summary)

plotname = 'single_neuron_activations'

deep_bottleneck.plotter.activations_single_neuron.load(run, dataset)

deep_bottleneck.plotter.base module

class deep_bottleneck.plotter.base.BasePlotter

Bases: object

Base class for plotters.

generate(measures_summary)

plot(measures_summary) → matplotlib.figure.Figure

plotname = ''

deep_bottleneck.plotter.informationplane module

class deep_bottleneck.plotter.informationplane.InformationPlanePlotter(run, dataset)

Bases: deep_bottleneck.plotter.base.BasePlotter

Plot the infoplane for average MI estimates.

plot(measures_summary)

plotname = 'infoplane'

deep_bottleneck.plotter.informationplane.load(run, dataset)

deep_bottleneck.plotter.informationplane_movie module

class deep_bottleneck.plotter.informationplane_movie.InformationPlaneMoviePlotter(run, dataset)

Bases: deep_bottleneck.plotter.base.BasePlotter

Plot the infoplane movie for several runs of the same network.

filename = 'plots/infoplane_movie.mp4'

generate(measures_summary)

plot(measures_summary)

plotname = 'infoplane_movie'

deep_bottleneck.plotter.informationplane_movie.load(run, dataset)

deep_bottleneck.plotter.snr module

class deep_bottleneck.plotter.snr.SignalToNoiseRatioPlotter(run, dataset)

Bases: deep_bottleneck.plotter.base.BasePlotter

plot(measures_summary)

plotname = 'snr'

deep_bottleneck.plotter.snr.load(run, dataset)

Module contents