Naive Bayes classifier implemented in Swift
Implementation of Naive Bayes Classifier algorithm in Swift3.x, supporting Gaussian naive Bayes, Multinomial naive Bayes and Bernoulli naive Bayes
SwiftNaiveBayes is same as Scikit learn's interface.
import SwiftNaiveBayes
let nb = NaiveBayes()
// Positive tokens and the frequencies ["token A": Frequency of token A, ...]
let pos = ["computer": 3, "programming": 2, "python": 1, "swift": 2]
// Negative tokens ["token X": Frequency of token X, ...]
let neg = ["game": 2, "computer": 2, "video": 1, "programming": 1]
// Positive tokens for testing
let posTest = ["computer": 2, "ruby": 1, "swift": 1, "programming": 1]
// Train model
// ["Label A": ["token A": Frequency of token A, ...]]
nb.fit(["positive": pos, "negative": neg])
// Predicts log probabilities for each label
let logProbs = nb.predict(posTest)
print(logProbs) //=> ["positive": -8.9186205290602363, "negative": -10.227308671603783]
// Use method chaining
nb.fit(["positive": pos, "negative": neg]).predict(posTest)
// Save session
try! nb.save("nb.session")
// Restore session
let nb2 = NaiveBayes("nb.session")
Package.swift
:
import PackageDescription
let package = Package(
name: "MyApp",
targets: [],
dependencies: [
.Package(url: "https://github.com/akimach/SwiftNaiveBayes.git", majorVersion: 1),
]
)
Podfile
:
platform :ios, '8.0'
use_frameworks!
target 'MyApp' do
pod 'SwiftNaiveBayes'
end
Cartfile
:
github "akimach/SwiftNaiveBayes"