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Posted to issues@systemml.apache.org by "Deron Eriksson (JIRA)" <ji...@apache.org> on 2017/08/17 20:15:00 UTC
[jira] [Created] (SYSTEMML-1849) Can't obtain scores from
l2-svm-predict.dml using JMLC
Deron Eriksson created SYSTEMML-1849:
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Summary: Can't obtain scores from l2-svm-predict.dml using JMLC
Key: SYSTEMML-1849
URL: https://issues.apache.org/jira/browse/SYSTEMML-1849
Project: SystemML
Issue Type: Bug
Components: Compiler, Runtime
Reporter: Deron Eriksson
Attempting to obtain the {{scores}} variable in {{l2-svm-predict.dml}} using JMLC gives:
{code}
Exception in thread "main" org.apache.sysml.api.DMLException: Non-existent output variable: scores
at org.apache.sysml.api.jmlc.ResultVariables.getMatrixBlock(ResultVariables.java:88)
at org.apache.sysml.api.jmlc.ResultVariables.getMatrix(ResultVariables.java:74)
{code}
This appears to be introduced by https://github.com/apache/systemml/commit/4b81d0dda6583f0ae96eaa7aa5832005ae5fa8a9
Example code:
{code}
public static void jmlcL2SVM() throws Exception {
Connection conn = new Connection();
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<String, String>();
m.put("$Y", "\"temp/haberman.test.labels.csv\"");
m.put("$confusion", "\"temp/l2-svm-confusion.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();
}
{code}
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