Index

_ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V

_

__init__() (hmclab.Distributions._AbstractDistribution method)

A

B

BayesRule (class in hmclab.Distributions)

C

D

E

F

functions_to_diagnose (hmclab.Samplers._AbstractSampler attribute)

G

gradient_descent() (in module hmclab.Optimizers)

H

Himmelblau (class in hmclab.Distributions)
HMC (class in hmclab.Samplers)
hmclab
- module
hmclab.Distributions
- module
hmclab.MassMatrices
- module

hmclab.Optimizers
- module
hmclab.Samplers
- module
hmclab.Visualization
- module

I

infer_velocity (hmclab.Distributions.SourceLocation2D attribute)
- (hmclab.Distributions.SourceLocation3D attribute)

K

kinetic_energy() (hmclab.MassMatrices._AbstractMassMatrix method)
- (hmclab.MassMatrices.Diagonal method)
- (hmclab.MassMatrices.Unit method)

kinetic_energy_gradient() (hmclab.MassMatrices._AbstractMassMatrix method)
- (hmclab.MassMatrices.Diagonal method)
- (hmclab.MassMatrices.Unit method)

L

M

module

N

normalized (hmclab.Distributions._AbstractDistribution attribute)

O

online_thinning (hmclab.Samplers._AbstractSampler attribute)

P

R

S

T

target_acceptance_rate (hmclab.Samplers.HMC attribute)
- (hmclab.Samplers.RWMH attribute)

U

upper_bounds (hmclab.Distributions._AbstractDistribution attribute)

V

visualize_2_dimensions() (hmclab.Visualization method)