public double train(double X_[][],int batchSize,Random r) throws Exception {
  initWeights(X_);
  X_=MatrixUtils.addBias(X_);
  int N=X_.length;
  int N_n=(int)Math.ceil(N * 1. / batchSize);
  Matrix X_n[]=new Matrix[N_n];
  for (int n=0, i=0; n < N; n+=batchSize, i++) {
    X_n[i]=new Matrix(Arrays.copyOfRange(X_,n,Math.min(n + batchSize,N)));
  }
  for (int e=0; e < m_E; e++) {
    for (int i=0; i < N_n; i++) {
      update(X_n[r.nextInt(N_n)]);
    }
  }
  return 1.0;
}

public double train ( double X_ [ ] [ ] , int batchSize , Random r ) throws Exception { initWeights ( X_ ) ; X_ = MatrixUtils . addBias ( X_ ) ; int N = X_ . length ; int N_n = ( int ) Math . ceil ( N * 1. / batchSize ) ; Matrix X_n [ ] = new Matrix [ N_n ] ; for ( int n = 0 , i = 0 ; n < N ; n += batchSize , i ++ ) { X_n [ i ] = new Matrix ( Arrays . copyOfRange ( X_ , n , Math . min ( n + batchSize , N ) ) ) ; } for ( int e = 0 ; e < m_E ; e ++ ) { for ( int i = 0 ; i < N_n ; i ++ ) { update ( X_n [ r . nextInt ( N_n ) ] ) ; } } return 1.0 ; }
train - setup and batch - train the rbm on x , with some random sampling involved . < br > todo should share code with train ( x )
