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https://github.com/guildai/guildai-r
Track machine learning experiments
https://github.com/guildai/guildai-r
deep-learning keras machine-learning
Last synced: 3 months ago
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Track machine learning experiments
- Host: GitHub
- URL: https://github.com/guildai/guildai-r
- Owner: guildai
- License: apache-2.0
- Created: 2022-06-07T20:30:54.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-02T18:02:09.000Z (over 1 year ago)
- Last Synced: 2024-09-28T13:40:55.471Z (3 months ago)
- Topics: deep-learning, keras, machine-learning
- Language: R
- Homepage: https://guildai.github.io/guildai-r/
- Size: 4.16 MB
- Stars: 18
- Watchers: 2
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# R interface to Guild AI
[![R-CMD-check](https://github.com/guildai/guildai-r/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/guildai/guildai-r/actions/workflows/R-CMD-check.yaml)
| | | |
|:----------------------------------------------------------:|:---------------------------------------------------:|:------------------------------------------------------:|
| | | |*guildai* provides a suite of tools for tracking, visualizing, and
managing machine learning experiments. The {guildai} R package is a
successor to the {tfruns} package.- Track the hyperparameters, metrics, output, and source code of every
training run.- Compare hyperparmaeters and metrics across runs to find the best
performing model.- No changes to source code required.
# Installation
The R package provides an interface to [Guild AI
Core](https://guild.ai/). The R package will automatically download and
install Guild AI Core on first use, or you can call `install_guild()`
directly to customize the installation.To install the release version:
``` r
install.packages("guildai")
guildai::install_guild()
```To install the development version:
``` r
remotes::install_github("guildai/guildai-r")
guildai::install_guild("dev")
```Guild AI can be used with any machine learning framework, or no
framework at all.[Get Started](https://guildai.github.io/guildai-r/articles/guildai.html)