Steppschuh

Comparing Classifications

Testing Walking classifier using data from records that matched pattern:

recorded_records.*phone.*walking_right-back

Using 4 features for specific classifications:

• Standard Deviation Accelerometer
• Variance Accelerometer

Steppschuh

Emphasis

@Test
public void example() throws Exception {
    StringBuilder sb = new StringBuilder()
            .append(new Text("I am normal")).append("\n")
            .append(new BoldText("I am bold")).append("\n")
            .append(new ItalicText("I am italic")).append("\n")
            .append(new StrikeThroughText("I am strike-through"));

Steppschuh

public static float calculateF1Score(float precision, float recall) {
    return calculateFScore(1, precision, recall);
}

public static float calculateFScore(double beta, float precision, float recall) {
    return (float) (1 + Math.pow(beta, 2)) * ((precision * recall) / (precision + recall));
}

public static float calculatePrecision(int truePositives, int falsePositives) {
    return truePositives / (float) (truePositives + falsePositives);

Steppschuh

/**
 * Copy & paste this code into the Google Chrome console
 * while viewing a photo on 500px and it will open the 
 * image URL in a new tab.
 *
 * You can toggle the console by pressing:
 * Ctrl+Shift+J (Windows / Linux)
 * Cmd+Opt+J (Mac)
 */

Steppschuh

import android.os.BaseBundle;
import android.os.Bundle;
import android.os.PersistableBundle;

public final class BundleUtil {

    /**
     * Creates a new {@link Bundle} based on the specified {@link PersistableBundle}.
     */
    public static Bundle toBundle(PersistableBundle persistableBundle) {