private Frame execRapidsAndGetFrame(String astTree) { Val val = Rapids.exec(astTree); return register(val.getFrame()); }
private Frame getFrameToTransform(Env env, Env.StackHelp stk, AstRoot asts[]) { return stk.track(asts[3].exec(env)).getFrame(); }
private Frame getTrainingFrame(Env env, Env.StackHelp stk, AstRoot asts[]) { return stk.track(asts[1].exec(env)).getFrame(); }
public long rowsWithNa() { if( _rowsWithNa!=-1 ) return _rowsWithNa; String x = String.format("(na.omit %s)", _fr._key); Val res = Rapids.exec(x); Frame f = res.getFrame(); long cnt = _fr.numRows() - f.numRows(); f.delete(); return (_rowsWithNa=cnt); }
_train = Rapids.exec(String.format("(na.omit %s)", tranRebalanced._key)).getFrame(); // remove NA rows DKV.remove(tranRebalanced._key); checkMemoryFootPrint();
@Test public void changeKeyFrameTest() { Frame res = null; try { fr = new TestFrameBuilder() .withName("testFrame") .withColNames("ColA") .withVecTypes(Vec.T_NUM) .withDataForCol(0, ard(1, 2)) .build(); String tree = "( append testFrame 42 'appended' )"; Val val = Rapids.exec(tree); res = val.getFrame(); res._key = fr._key; DKV.put(fr._key, res); } finally { res.delete(); } }
Frame withAppendedFrame = Rapids.exec(tree).getFrame(); withAppendedFrame._key = Key.make(); DKV.put(withAppendedFrame);
_train = Rapids.exec(String.format("(na.omit %s)", tranRebalanced._key)).getFrame(); // remove NA rows DKV.remove(tranRebalanced._key);
Frame tmp = Rapids.exec(ast).getFrame(); pred2labels = tmp.vecs()[0]; cm = ConfusionMatrixTest.buildCM(labels, pred2labels);
private Frame execRapidsAndGetFrame(String astTree) { Val val = Rapids.exec(astTree); return register(val.getFrame()); }
private Frame getFrameToTransform(Env env, Env.StackHelp stk, AstRoot asts[]) { return stk.track(asts[3].exec(env)).getFrame(); }
private Frame getTrainingFrame(Env env, Env.StackHelp stk, AstRoot asts[]) { return stk.track(asts[1].exec(env)).getFrame(); }
public long rowsWithNa() { if( _rowsWithNa!=-1 ) return _rowsWithNa; String x = String.format("(na.omit %s)", _fr._key); Val res = Rapids.exec(x); Frame f = res.getFrame(); long cnt = _fr.numRows() - f.numRows(); f.delete(); return (_rowsWithNa=cnt); }
_train = Rapids.exec(String.format("(na.omit %s)", tranRebalanced._key)).getFrame(); // remove NA rows DKV.remove(tranRebalanced._key); checkMemoryFootPrint();
_train = Rapids.exec(String.format("(na.omit %s)", tranRebalanced._key)).getFrame(); // remove NA rows DKV.remove(tranRebalanced._key);