https://github.com/denissimon/prediction-builder-swift
A library for machine learning that builds predictions using a linear regression.
https://github.com/denissimon/prediction-builder-swift
carthage cocoapods ios linear-regression machine-learning ml prediction regression swift swift-library swift-package-manager xcode
Last synced: about 1 year ago
JSON representation
A library for machine learning that builds predictions using a linear regression.
- Host: GitHub
- URL: https://github.com/denissimon/prediction-builder-swift
- Owner: denissimon
- License: mit
- Created: 2017-01-15T01:44:23.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-01-20T20:44:04.000Z (over 2 years ago)
- Last Synced: 2025-04-13T14:09:13.262Z (about 1 year ago)
- Topics: carthage, cocoapods, ios, linear-regression, machine-learning, ml, prediction, regression, swift, swift-library, swift-package-manager, xcode
- Language: Swift
- Homepage:
- Size: 101 KB
- Stars: 12
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
PredictionBuilder
=================
[](https://swift.org)
[](https://developer.apple.com/swift/)
PredictionBuilder is a library for machine learning that builds predictions using a linear regression.
Installation
------------
#### Swift Package Manager
To install PredictionBuilder using [Swift Package Manager](https://swift.org/package-manager):
```txt
Xcode: File -> Add Packages
Enter Package URL: https://github.com/denissimon/prediction-builder-swift
```
#### CocoaPods
To install PredictionBuilder using [CocoaPods](https://cocoapods.org), add this line to your `Podfile`:
```ruby
pod 'PredictionBuilder', '~> 1.2'
```
#### Carthage
To install PredictionBuilder using [Carthage](https://github.com/Carthage/Carthage), add this line to your `Cartfile`:
```ruby
github "denissimon/prediction-builder-swift"
```
#### Manually
Copy `PredictionBuilder.swift` into your project.
Example
-------
```swift
import PredictionBuilder
let data: [[Double]] = [[1,20],[2,70],[2,45],[3,81],[5,73],[6,80],[7,110]]
let x: Double = 4.5
let prediction = PredictionBuilder()
prediction.set(x: x, data: data)
// What is the expected y value for a given x value?
do {
let result = try prediction.build() // y = 76.65
} catch let msg {
print(msg)
}
```
The returned instance has the following properties:
`result.lnModel` linear model that fits the data: "29.56362+10.46364x"
`result.cor` correlation coefficient: 0.8348
`result.x` given x value: 4.5
`result.y` predicted y value: 76.65
License
-------
Licensed under the [MIT License](https://github.com/denissimon/prediction-builder-swift/blob/master/LICENSE)