makePrediction.js

function makePrediction() {
	// create a prediction request that includes some facts about
	// the user.
	var predictRequest = {
		"inputs": [
			{"key": "user_age", "type": "number", "value": ""+user.age},
			{"key": "user_interests", "type": "list", "value": user.interests.join(',')},
			{"key": "user_location", "type": "keyword", "value": user.city}
		]
	}
	var url = options.suggestionboxAddr+'/models/'+options.modelID+'/predict'
	makeRequest('post', url, predictRequest, function(status, response, xhr) {
		if (status !== 200 || !response.success) {
			console.warn('Failed', status, response, xhr)
			return
		}
		// order the elements based on the response from
		// the Machine Learning model
		var choicesEl = document.getElementById('choices')
		for (var choice in response.choices) {
			var choice = response.choices[choice]
			// keep track of this reward ID
			rewardIDs[choice.id] = choice.reward_id
			var choiceEl = document.getElementById('choice-'+choice.id)
			choicesEl.appendChild(choiceEl)
		}
	})
}