thomasjungblut

package de.jungblut.benchmark;

import java.util.Random;

import com.google.caliper.Param;
import com.google.caliper.Runner;
import com.google.caliper.SimpleBenchmark;

import de.jungblut.math.DoubleMatrix;
import de.jungblut.math.cuda.JCUDAMatrixUtils;

thomasjungblut

package de.jungblut.benchmark;

import java.util.ArrayList;

import com.google.caliper.Param;
import com.google.caliper.Runner;
import com.google.caliper.SimpleBenchmark;

public class PerfectSquaresBenchmark extends SimpleBenchmark {

thomasjungblut

    String pathBase = "/home/thomasjungblut/Downloads/";
    PDDocument source = PDDocument.load(pathBase
        + "c1.pdf");
    PDDocument lastPage = PDDocument.load(pathBase + "updated.pdf");
    source.removePage(source.getNumberOfPages() - 1);
    source.addPage( (PDPage) lastPage.getDocumentCatalog().getAllPages().get(0) );
    
    source.save(pathBase + "c2_updated.pdf");

thomasjungblut

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0

thomasjungblut

pub   2048D/4F238505 2011-09-20
uid                  Thomas Jungblut <tjungblut@apache.org>
sig 3        4F238505 2011-09-20  Thomas Jungblut <tjungblut@apache.org>

pub   4096R/56623ACB 2014-04-22
uid                  Thomas Jungblut (apache account email pgp client blax) <tjungblut@apache.org>
sig 3        56623ACB 2014-04-22  Thomas Jungblut (apache account email pgp client blax) <tjungblut@apache.org>
sub   4096R/BDDECF6D 2014-04-22
sig          56623ACB 2014-04-22  Thomas Jungblut (apache account email pgp client blax) <tjungblut@apache.org>

thomasjungblut

package de.jungblut.interviews;

import java.util.Stack;

import com.google.common.base.Preconditions;

public class BinaryTree {

	class TreeNode {
		TreeNode left;

thomasjungblut

import java.util.concurrent.Executors
import scala.util.Random
import java.util.concurrent.ExecutorService
import java.util.concurrent.Callable
import java.util.concurrent.FutureTask
import java.util.concurrent.ExecutorCompletionService
import scala.collection.mutable.MutableList

object PiEstimator extends App {

thomasjungblut

package de.jungblut.nlp;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

import com.google.common.base.Stopwatch;

thomasjungblut

import de.jungblut.math.DoubleVector;
import de.jungblut.math.MathUtils;
import de.jungblut.math.dense.DenseDoubleVector;
import de.jungblut.math.minimize.CostFunction;
import de.jungblut.math.minimize.CostGradientTuple;
import de.jungblut.math.minimize.Fmincg;

public class FminCGNumericalGradient {

  static class RealCostFunction implements CostFunction {

thomasjungblut

train <- read.csv("train.csv")
bound <- floor(nrow(train) * 0.9)         
train <- train[sample(nrow(train)), ]       
df.train <- train[1:bound, ]                
df.validation <- train[(bound+1):nrow(train), ]

train.y <- df.train$TARGET
validation.y <- df.validation$TARGET

dtrain <- xgb.DMatrix(data=df.train, label=train.y)