sample_IBP_a: Sampling step for Indian Buffet Process Alpha Parameter
In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis
Description
Usage
Arguments
Value
Description
Sampling step for Indian Buffet Process Alpha Parameter
Usage
1
sample_IBP_a(ibp_b, zeros, e = 1, f = 1)
Arguments
ibp_b
A scalar double, Indian Buffet Process beta parameter.
zeros
A binary, sparsity inducing matrix of dimenion P x K.
e
A scalar double, tunable hyperparameter for the shape parameter of the gamma draw. Default is 1.
f
A scalar double, tunable hyperparameter for the rate parameter of the gamma draw. Default is 1.
Value
ibp_a Scalar double, Indian Buffet Process alpha parameter.
EandrewJones/mmBPFA documentation built on Feb. 14, 2021, 11:17 p.m.
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Description Usage Arguments Value
Description
Sampling step for Indian Buffet Process Alpha Parameter
Usage
1 | sample_IBP_a(ibp_b, zeros, e = 1, f = 1)
|
Arguments
ibp_b |
A scalar double, Indian Buffet Process beta parameter. |
zeros |
A binary, sparsity inducing matrix of dimenion P x K. |
e |
A scalar double, tunable hyperparameter for the shape parameter of the gamma draw. Default is 1. |
f |
A scalar double, tunable hyperparameter for the rate parameter of the gamma draw. Default is 1. |
Value
ibp_a Scalar double, Indian Buffet Process alpha parameter.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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