Examples with Connection org.apache.sysml.api.jmlc.Connection used on opensource projects

Example 56 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class BuildLiteExecution method jmlcBasics.

public static void jmlcBasics() throws Exception {
    String dml = "A = matrix(\"1 2 3 4 5 6\", rows=3, cols=2)\n" + "print(toString(A))\n" + "B = A + 4\n" + "B = t(B)\n" + "print(toString(B))\n" + "C = A %*% B\n" + "print(toString(C))\n" + "D = matrix(5, rows=nrow(C), cols=ncol(C))\n" + "D = (C - D) / 2\n" + "print(toString(D))\n" + "\n" + "A = matrix(\"1 2 3 4 5 6 7 8 9\", rows=3, cols=3)\n" + "print(toString(A))\n" + "B = A[3,3]\n" + "print(toString(B))\n" + "C = A[2,]\n" + "print(toString(C))\n" + "D = A[,3]\n" + "print(toString(D))\n" + "E = A[2:3,1:2]\n" + "print(toString(E))\n" + "\n" + "i = 1\n" + "while (i <= 3) {\n" + " if (i == 1) {\n" + " print(\'hello\')\n" + " } else if (i == 2) {\n" + " print(\'world\')\n" + " } else {\n" + " print(\'!!!\')\n" + " }\n" + " i = i + 1\n" + "}\n" + "\n" + "A = matrix(\"1 2 3 4 5 6\", rows=3, cols=2)\n" + "\n" + "for (i in 1:nrow(A)) {\n" + " print(\"for A[\" + i + \",1]:\" + as.scalar(A[i,1]))\n" + "}\n" + "\n" + "parfor(i in 1:nrow(A)) {\n" + " print(\"parfor A[\" + i + \",1]:\" + as.scalar(A[i,1]))\n" + "}\n" + "\n" + "doSomething = function(matrix[double] mat) return (matrix[double] ret) {\n" + " additionalCol = matrix(1, rows=nrow(mat), cols=1) # 1x3 matrix with 1 values\n" + " ret = cbind(mat, additionalCol) # concatenate column to matrix\n" + " ret = cbind(ret, seq(0, 2, 1)) # concatenate column (0,1,2) to matrix\n" + " ret = cbind(ret, rowMaxs(ret)) # concatenate column of max row values to matrix\n" + " ret = cbind(ret, rowSums(ret)) # concatenate column of row sums to matrix\n" + "}\n" + "\n" + "A = rand(rows=3, cols=2, min=0, max=2) # random 3x2 matrix with values 0 to 2\n" + "B = doSomething(A)\n" + "write(A, \"" + getRoot() + "A.csv\", format=\"csv\")\n" + "write(B, \"" + getRoot() + "B.csv\", format=\"csv\")\n";
    Connection conn = getConfiguredConnection();
    PreparedScript script = conn.prepareScript(dml, new String[] {}, new String[] {}, false);
    script.executeScript();
    conn.close();
}

Example 57 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class BuildLiteExecution method jmlcScoringExample.

public static void jmlcScoringExample() throws Exception {
    String scriptString = "X = read(\"./tmp/X\", rows=-1, cols=-1);\n" + "W = read(\"./tmp/W\", rows=-1, cols=-1);\n" + "\n" + "numRows = nrow(X);\n" + "numCols = ncol(X);\n" + "b = W[numCols+1,]\n" + "scores = X %*% W[1:numCols,] + b;\n" + "predicted_y = rowIndexMax(scores);\n" + "\n" + "print('pred:' + toString(predicted_y))\n" + "\n" + "write(predicted_y, \"./tmp\", format=\"text\");\n";
    File file = new File(getRoot() + "scoring-example.dml");
    System.out.println(file.toString());
    FileUtils.writeStringToFile(file, scriptString);
    Connection conn = getConfiguredConnection();
    String dml = conn.readScript(getRoot() + "scoring-example.dml");
    PreparedScript script = conn.prepareScript(dml, new String[] { "W", "X" }, new String[] { "predicted_y" }, false);
    double[][] mtx = matrix(4, 3, new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9 });
    double[][] result = null;
    script.setMatrix("W", mtx);
    script.setMatrix("X", randomMatrix(3, 3, -1, 1, 0.7));
    result = script.executeScript().getMatrix("predicted_y");
    log.debug(displayMatrix(result));
    script.setMatrix("W", mtx);
    script.setMatrix("X", randomMatrix(3, 3, -1, 1, 0.7));
    result = script.executeScript().getMatrix("predicted_y");
    log.debug(displayMatrix(result));
    script.setMatrix("W", mtx);
    script.setMatrix("X", randomMatrix(3, 3, -1, 1, 0.7));
    result = script.executeScript().getMatrix("predicted_y");
    log.debug(displayMatrix(result));
    conn.close();
}

Example 58 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class BuildLiteExecution method jmlcUnivariateStatistics.

public static void jmlcUnivariateStatistics() throws Exception {
    Connection conn = getConfiguredConnection();
    String dml = conn.readScript("scripts/algorithms/Univar-Stats.dml");
    Map<String, String> m = new HashMap<>();
    m.put("$CONSOLE_OUTPUT", "TRUE");
    PreparedScript script = conn.prepareScript(dml, m, new String[] { "A", "K" }, new String[] { "baseStats" }, false);
    double[][] data = new double[100][4];
    for (int i = 0; i < 100; i++) {
        int one = ThreadLocalRandom.current().nextInt(0, 101);
        int two = ThreadLocalRandom.current().nextInt(0, 101);
        int three = ThreadLocalRandom.current().nextInt(0, 101);
        int four = ThreadLocalRandom.current().nextInt(1, 3);
        double[] row = new double[] { one, two, three, four };
        data[i] = row;
    }
    log.debug(displayMatrix(data));
    double[][] types = matrix(1, 4, new double[] { 1, 1, 1, 2 });
    script.setMatrix("A", data);
    script.setMatrix("K", types);
    double[][] baseStats = script.executeScript().getMatrix("baseStats");
    log.debug(displayMatrix(baseStats));
    conn.close();
}

Example 59 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class BuildLiteExecution method jmlcL2SVM.

public static void jmlcL2SVM() throws Exception {
    Connection conn = getConfiguredConnection();
    String dml = conn.readScript("scripts/algorithms/l2-svm.dml");
    PreparedScript l2svm = conn.prepareScript(dml, new String[] { "X", "Y", "fmt", "Log" }, new String[] { "w", "debug_str" }, false);
    double[][] trainData = new double[150][3];
    for (int i = 0; i < 150; i++) {
        int one = ThreadLocalRandom.current().nextInt(0, 101);
        int two = ThreadLocalRandom.current().nextInt(0, 101);
        int three = ThreadLocalRandom.current().nextInt(0, 101);
        double[] row = new double[] { one, two, three };
        trainData[i] = row;
    }
    l2svm.setMatrix("X", trainData);
    log.debug(displayMatrix(trainData));
    double[][] trainLabels = new double[150][1];
    for (int i = 0; i < 150; i++) {
        int one = ThreadLocalRandom.current().nextInt(1, 3);
        double[] row = new double[] { one };
        trainLabels[i] = row;
    }
    l2svm.setMatrix("Y", trainLabels);
    log.debug(displayMatrix(trainLabels));
    l2svm.setScalar("fmt", "csv");
    l2svm.setScalar("Log", "temp/l2-svm-log.csv");
    ResultVariables l2svmResults = l2svm.executeScript();
    double[][] model = l2svmResults.getMatrix("w");
    log.debug("MODEL:");
    log.debug(displayMatrix(model));
    String debugString = l2svmResults.getString("debug_str");
    log.debug("DEBUG STRING:");
    log.debug(debugString);
    String s = conn.readScript("scripts/algorithms/l2-svm-predict.dml");
    Map<String, String> m = new HashMap<>();
    m.put("$Y", "temp/1.csv");
    m.put("$confusion", "temp/2.csv");
    m.put("$scores", "temp/3.csv");
    PreparedScript l2svmPredict = conn.prepareScript(s, m, new String[] { "X", "Y", "w", "fmt" }, new String[] { "scores", "confusion_mat" }, false);
    double[][] testData = new double[150][3];
    for (int i = 0; i < 150; i++) {
        int one = ThreadLocalRandom.current().nextInt(0, 101);
        int two = ThreadLocalRandom.current().nextInt(0, 101);
        int three = ThreadLocalRandom.current().nextInt(0, 101);
        double[] row = new double[] { one, two, three };
        testData[i] = row;
    }
    l2svmPredict.setMatrix("X", testData);
    double[][] testLabels = new double[150][1];
    for (int i = 0; i < 150; i++) {
        int one = ThreadLocalRandom.current().nextInt(1, 3);
        double[] row = new double[] { one };
        testLabels[i] = row;
    }
    l2svmPredict.setMatrix("Y", testLabels);
    l2svmPredict.setMatrix("w", model);
    l2svmPredict.setScalar("fmt", "csv");
    ResultVariables l2svmPredictResults = l2svmPredict.executeScript();
    double[][] scores = l2svmPredictResults.getMatrix("scores");
    log.debug("SCORES:");
    log.debug(displayMatrix(scores));
    double[][] confusionMatrix = l2svmPredictResults.getMatrix("confusion_mat");
    log.debug("CONFUSION MATRIX:");
    log.debug(displayMatrix(confusionMatrix));
    conn.close();
}

Example 60 with Connection

use of org.apache.sysml.api.jmlc.Connection in project systemml by apache.

the class BuildLiteExecution method jmlcHelloWorld.

public static void jmlcHelloWorld() throws Exception {
    Connection conn = getConfiguredConnection();
    PreparedScript script = conn.prepareScript("print('hello world');", new String[] {}, new String[] {}, false);
    script.executeScript();
    conn.close();
}