Index B | C | D | F | I | K | L | M | P | R | S | T | U | V B Buffer (class in madnis.integrator) C cat() (madnis.integrator.SampleBatch static method) ChannelData (class in madnis.integrator) ChannelGroup (class in madnis.integrator) ChannelGrouping (class in madnis.integrator) D DiscreteMADE (class in madnis.nn) DiscreteTransformer (class in madnis.nn) Distribution (class in madnis.nn) F filter() (madnis.integrator.Buffer method) Flow (class in madnis.nn) forward() (madnis.integrator.Integrand method) (madnis.nn.MaskedMLP method) (madnis.nn.MLP method) (madnis.nn.StackedMLP method) I init_with_grid() (madnis.nn.Flow method) initialize_integrator() (madnis.integrator.VegasPreTraining method) integral() (madnis.integrator.Integrator method) Integrand (class in madnis.integrator) integrate() (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) integration_metrics() (in module madnis.integrator) (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) IntegrationMetrics (class in madnis.integrator) Integrator (class in madnis.integrator) K kl_divergence() (in module madnis.integrator) kl_divergence_softclip() (in module madnis.integrator) L log_prob() (madnis.nn.DiscreteTransformer method) (madnis.nn.Distribution method) (madnis.nn.Flow method) (madnis.nn.MixedFlow method) M madnis.integrator module madnis.nn module map() (madnis.integrator.SampleBatch method) MaskedMLP (class in madnis.nn) MixedFlow (class in madnis.nn) MLP (class in madnis.nn) module madnis.integrator madnis.nn multi_channel_loss() (in module madnis.integrator) P prob() (madnis.nn.Distribution method) (madnis.nn.Flow method) R rational_quadratic_spline() (in module madnis.nn) remap_channels() (madnis.integrator.Integrand method) reset_parameters() (madnis.nn.StackedMLP method) rkl_divergence() (in module madnis.integrator) S sample() (madnis.integrator.Buffer method) (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) (madnis.nn.DiscreteTransformer method) (madnis.nn.Distribution method) (madnis.nn.Flow method) SampleBatch (class in madnis.integrator) split() (madnis.integrator.SampleBatch method) StackedMLP (class in madnis.nn) store() (madnis.integrator.Buffer method) stratified_variance() (in module madnis.integrator) stratified_variance_softclip() (in module madnis.integrator) T train() (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) train_step() (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) TrainingStatus (class in madnis.integrator) transform() (madnis.nn.Flow method) U unconstrained_rational_quadratic_spline() (in module madnis.nn) unique_channel_count() (madnis.integrator.Integrand method) unweighting_metrics() (in module madnis.integrator) (madnis.integrator.Integrator method) (madnis.integrator.VegasPreTraining method) UnweightingMetrics (class in madnis.integrator) V VegasPreTraining (class in madnis.integrator)