jdeloach

  def printConfusionMatrix(labelAndPred: List[(Int,Int)]) = {
    // labelAndPred
    println(" " + (0 until classCount).mkString(" ") + " <- predicted ")
    println((0 until 2*classCount).map(x => "--").mkString)
    for(i <- 0 until classCount) {
      for(j <- 0 until classCount) {
        // i is actual
        // j is classified as
        print(" " + labelAndPred.count{ case (label,pred) => label == i && pred == j })
      }

jdeloach

package experiments.old

import org.apache.spark.mllib.classification.NaiveBayesModel
import org.apache.spark.mllib.evaluation.BinaryClassificationMetrics
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.rdd.RDD
import org.apache.spark.mllib.linalg.Vectors
import scala.collection.mutable.ArrayBuffer

jdeloach

/**
 * Returns the Uri which can be used to delete/work with images in the photo gallery. 
 * @param filePath Path to IMAGE on SD card
 * @return Uri in the format of... content://media/external/images/media/[NUMBER]
 */
private Uri getUriFromPath(String filePath) {
    long photoId;
    Uri photoUri = MediaStore.Images.Media.getContentUri("external");

    String[] projection = {MediaStore.Images.ImageColumns._ID};

jdeloach

<?php

/**
*	Simple, not the prettiest method to get your latest 3200 tweets (Twitter imposed limit). Thrown together in 20 minutes, not expected to be the greatest.
*	Author: Jordan DeLoach (Twitter: @jtmcgee Github: @jdeloach Web: jordandeloach.com)
*	
*	Step One (insert your username):
*	curl -s --user-agent 'Mozilla' --insecure 'https://twitter.com/statuses/user_timeline/YOUR_USERNAME_HERE.xml?count=100&page=[1-32]' >> tweets.txt
*
*	Step Two: