Examples of MnistFetcher

Examples of tv.floe.metronome.deeplearning.datasets.fetchers.MnistFetcher

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   * @throws IOException
   */
  public static Pair<Matrix,Matrix> getMnistExample(int example) throws IOException {
    File ensureExists = new File("/tmp/MNIST");
    if(!ensureExists.exists())
      new MnistFetcher().downloadAndUntar();

    MnistManager man = new MnistManager("/tmp/MNIST/" + MnistFetcher.trainingFilesFilename_unzipped,"/tmp/MNIST/" + MnistFetcher.trainingFileLabelsFilename_unzipped);
    man.setCurrent(example);
    int[] imageExample = ArrayUtils.flatten(man.readImage());
    //return new Pair<Matrix,Matrix>(MatrixUtils.toMatrix(imageExample).transpose(),MatrixUtils.toOutcomeVector(man.readLabel(),10));
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Examples of tv.floe.metronome.deeplearning.datasets.fetchers.MnistFetcher

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   */
  public List<Pair<Matrix,Matrix>> getMnistExampleBatches(int batchSize,int numBatches) throws IOException {
    File ensureExists = new File("/tmp/MNIST");
    List<Pair<Matrix,Matrix>> ret = new ArrayList<Pair<Matrix, Matrix>>();
    if(!ensureExists.exists())
      new MnistFetcher().downloadAndUntar();
    MnistManager man = new MnistManager("/tmp/MNIST/" + MnistFetcher.trainingFilesFilename_unzipped,"/tmp/MNIST/" + MnistFetcher.trainingFileLabelsFilename_unzipped);

    int[][] image = man.readImage();
    int[] imageExample = ArrayUtils.flatten(image);

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Examples of tv.floe.metronome.deeplearning.datasets.fetchers.MnistFetcher

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   * @throws IOException
   */
  public static Pair<Matrix,Matrix> getMnistExampleBatch(int batchSize) throws IOException {
    File ensureExists = new File("/tmp/MNIST");
    if(!ensureExists.exists() || !new File("/tmp/MNIST/" + MnistFetcher.trainingFilesFilename_unzipped).exists() || !new File("/tmp/MNIST/" + MnistFetcher.trainingFileLabelsFilename_unzipped).exists())
      new MnistFetcher().downloadAndUntar();
    MnistManager man = new MnistManager("/tmp/MNIST/" + MnistFetcher.trainingFilesFilename_unzipped,"/tmp/MNIST/" + MnistFetcher.trainingFileLabelsFilename_unzipped);

    int[][] image = man.readImage();
    int[] imageExample = ArrayUtils.flatten(image);
    double[][] examples = new double[batchSize][imageExample.length];
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