Rescal: RESCAL Model
In ptf: Probit Tensor Factorization
Description
Usage
Arguments
Value
References
Description
RESCAL Model
Usage
1
Rescal(X, k, n, r, max_iter = 500)
Arguments
X
response data, which is a three-way array of size n by n by k
k
number of relations
n
number of entities
r
decomposition rank
max_iter
max number of iterations
Value
fitted parameters
References
Nickel, Maximilian, Volker Tresp, and Hans-Peter Kriegel. "A three-way model for collective learning on multi-relational data.", Icml. 2011.
ptf documentation built on June 15, 2021, 5:06 p.m.
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Description Usage Arguments Value References
Description
RESCAL Model
Usage
1 | Rescal(X, k, n, r, max_iter = 500)
|
Arguments
X |
response data, which is a three-way array of size n by n by k |
k |
number of relations |
n |
number of entities |
r |
decomposition rank |
max_iter |
max number of iterations |
Value
fitted parameters
References
Nickel, Maximilian, Volker Tresp, and Hans-Peter Kriegel. "A three-way model for collective learning on multi-relational data.", Icml. 2011.
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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