project: Projection function.
In hwchang1201/poincare.embeddings: R-package implementation of Poincaré Embeddings for Learning Hierarchical Representations.
Description
Usage
Arguments
Value
Examples
View source: R/embeddingTrainer.R
Description
This function make each embedding point theta stay in the unit ball by normalize the vector when Euclidean norm of the point is greater than 1.
Please refer to 'vignette' to find the equation for the projection function and detailed ideas.
Usage
1
project(theta_i)
Arguments
-
A N x 1 vector with N : Embedding space dimension. Each of theta works as proxy of an entity in tree-shape dataset.
Value
- A N x 1 vector inside the unit ball.
Examples
1
hwchang1201/poincare.embeddings documentation built on Dec. 9, 2019, 1:30 p.m.
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Description Usage Arguments Value Examples
View source: R/embeddingTrainer.R
Description
This function make each embedding point theta stay in the unit ball by normalize the vector when Euclidean norm of the point is greater than 1. Please refer to 'vignette' to find the equation for the projection function and detailed ideas.
Usage
1 | project(theta_i)
|
Arguments
- |
A N x 1 vector with N : Embedding space dimension. Each of theta works as proxy of an entity in tree-shape dataset. |
Value
- A N x 1 vector inside the unit ball.
Examples
1 |
R Package Documentation
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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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