https://github.com/ericbf/machine-learning-project
https://github.com/ericbf/machine-learning-project
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/ericbf/machine-learning-project
- Owner: ericbf
- Created: 2017-11-11T19:28:23.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-17T19:25:22.000Z (over 8 years ago)
- Last Synced: 2025-02-03T13:15:36.484Z (over 1 year ago)
- Language: Swift
- Size: 19.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Eric Ferreira's Project
### Tested Platforms
* `macOS`
* `Linux`
### Environment Developed On
* Machine: `MacBook Pro (Retina, 15-inch, Early 2013)`
* Processor: `2.7 GHz Intel Core i7`
* Memory: `16 GB 1600 MHz DDR3`
* Operating System: `macOS High Sierra (Version 10.13.2 Beta (17C60c))`
* `Swift` version: `4.0.2 (swiftlang-900.0.69.2 clang-900.0.38)`
* `Swift` target: `x86_64-apple-macosx10.9`
* `R` version: `3.4.2 (2017-09-28) -- "Short Summer"`
* `R` platform: `x86_64-apple-darwin17.0.0 (64-bit)`
### Steps to Run
##### Install Dependencies
* [`Swift`](https://swift.org)
* [`R`](https://www.r-project.org)
##### Install R packages
* [`randomForest`](https://cran.r-project.org/web/packages/randomForest/)
* [`Hmisc`](https://cran.r-project.org/web/packages/Hmisc/)
#### Running the Project
1. Open a terminal in the `Source Code` directory in the project folder.
1. You may need to give executable permissions to the `Rscript-proxy.sh` file. Do this by running `chmod 755 Rscript-proxy.sh`.
1. Run `swift run` to build and run the project.
1. Follow the prompts in the terminal window.