https://github.com/dulajkavinda/iris-predictor-rn
🌺 React Native App to predict Iris Species connected to python backend runs on Heroku
https://github.com/dulajkavinda/iris-predictor-rn
added expo mobile react react-native
Last synced: 7 months ago
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🌺 React Native App to predict Iris Species connected to python backend runs on Heroku
- Host: GitHub
- URL: https://github.com/dulajkavinda/iris-predictor-rn
- Owner: dulajkavinda
- Created: 2020-04-19T01:43:26.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-30T01:07:09.000Z (over 5 years ago)
- Last Synced: 2025-03-27T08:53:34.013Z (7 months ago)
- Topics: added, expo, mobile, react, react-native
- Language: JavaScript
- Homepage: https://iris-predict-duka.herokuapp.com
- Size: 4.97 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Iris Flower Predictor
Mobile Application to predict a flower species from the iris dataset.
## Description
The dataset for this project originates from the UCI Machine Learning Repository. The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
- The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).
- Four features were measured from each sample (in centimetres):
- Length of the sepals
- Width of the sepals
- Length of the petals
- Width of the petals
## Getting Started
### Dependencies
* expo
### Executing program
* add modules
```
yarn install
```
* run
```
expo start
```
## Authors
Contributors names and contact info
- Dulaj Kavinda
## Version History
* 0.1
* Initial Release
## License
This project is licensed under the MIT License