 			for (token, _) in _frequencyTable {
 				let frequencyInText: Float = Float(_frequencyTable[token]!)
 				let tokenProbability: Float = self.tokenProbability(token, category: item)
-				print(item, token, frequencyInText, tokenProbability)
 				logProbability = logProbability + (frequencyInText * log(tokenProbability))
 			}
 
-			print("FINAL LOG PROBABILITY: ", logProbability)
 			if logProbability > maxProbability {
 				maxProbability = logProbability
 				chosenCategory = item

	func tokenProbability(_ token: String, category: String) -> Float {
		var wordFrequencyCount: Int!
		if let test = self.wordFrequencyCount[category]![token] {
			print(test)
		}
		if self.wordFrequencyCount[category]![token] != nil {
			wordFrequencyCount = self.wordFrequencyCount[category]![token]!

	}

	func Naivebayes(_ options: Dictionary<String, String>) {
		if options.count == 0 {
			print("error no options")
		}
