glowfi.sh in iOS + Parse for the Big Web

Installation

Download Glowfish.swift and PFGlowfish.swift and drop it in your app.
Also, make sure to get the amazing framework https://github.com/Alamofire/Alamofire which is used for our framework.

Then you'll need to setup a parse account and install it in your app. I think it's best you just follow these instructions: https://parse.com/apps/quickstart

Setup

Parse.enableLocalDatastore()
Parse.setApplicationId('<PARSE_ID>', clientKey: '<PARSE_KEY>')

PFGlowfish.setCredentials('<GLOWFISH_SID>', '<GLOWFISH_AUTH_TOKEN>')
PFGlowfish.findAllResultsWhenUsingParse() // optional, if you want us to grab ALL data from your queries instead of Parse's imposed limits...yeah we can do that.

Useage

Get ready for some simple machine learning...

Training

var dataQuery = PFQuery(className: "StuffData")
var responseQuery = PFQuery(className: "StuffData")

PFGlowfish.train(dataQuery: dataQuery, parseDataFields: ["field_name1", "field_name2"], parseResponseQuery: responseQuery, parseResponseField: "response", complete: { (objects, error) -> () in
  if error != nil {
    // looks like there's a problem here
  } else {
    // we're all good here
  }
})

Predict It's important to note that predicting will throw an error if you have not trained against a data set first.

var dataQuery = PFQuery(className: "StuffData")
var responseQuery = PFQuery(className: "StuffData")

PFGlowfish.predict(dataQuery: dataQuery, parseDataFields: ["field_name1", "field_name2"], parseResponseQuery: responseQuery, parseResponseField: "response", complete: { (objects, error) -> () in
  if error != nil {
    // looks like there's a problem here
  } else {
    // we're all good here
  }
})

Clustering

var dataQuery = PFQuery(className: "StuffData")
var responseQuery = PFQuery(className: "StuffData")

PFGlowfish.cluster(dataQuery: dataQuery, parseDataFields: ["field_name1", "field_name2"], parseResponseQuery: responseQuery, parseResponseField: "response", complete: { (objects, error) -> () in
  if error != nil {
    // looks like there's a problem here
  } else {
    // we're all good here
  }
})

Feature Selection

var dataQuery = PFQuery(className: "StuffData")
var responseQuery = PFQuery(className: "StuffData")

PFGlowfish.feature_select(dataQuery: dataQuery, parseDataFields: ["field_name1", "field_name2"], parseResponseQuery: responseQuery, parseResponseField: "response", complete: { (objects, error) -> () in
  if error != nil {
    // looks like there's a problem here
  } else {
    // we're all good here
  }
})

Further Documentation

Docs - http://glowfish.readme.io/
Registration - http://glowfi.sh/

Thank You

Thanks so much to Matt Thompson (@matt) for creating Alamofire. Big props.