kerasR
0.8.1R Interface to the Keras Deep Learning Library
Overview
Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras' provides specifications for describing dense neural networks, convolution neural networks (CNN) and recurrent neural networks (RNN) running on top of either 'TensorFlow' or 'Theano'. Type conversions between Python and R are automatically handled correctly, even when the default choices would otherwise lead to errors. Includes complete R documentation and many working examples.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 96%
- Return-value docs
- 4%
- References docs
- 93%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 2.0 median / 7 max
- Test cases
- 22 / 0.23 per code line
- System requirements
- 1 external
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
120 117 exported
Complexity
1.9 avg / 7 max
Call network
120 nodes / 178 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2023-03-16issues were not corrected in time
- 0.8.12022-08-17 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.6.12017-06-01 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.4.12017-03-20
- RR 3.3.0 released · 2016-05-03
Package metadata
- Total releases
- 3
- License
- LGPL-2 OSI
- Minimum R
- ≥ 2.10
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet