本文整理汇总了Java中water.fvec.Frame.domains方法的典型用法代码示例。如果您正苦于以下问题：Java Frame.domains方法的具体用法？Java Frame.domains怎么用？Java Frame.domains使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类water.fvec.Frame的用法示例。
在下文中一共展示了Frame.domains方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: buildOutput
import water.fvec.Frame; //导入方法依赖的package包/类
static Frame buildOutput(int[] gbCols, int noutCols, Frame fr, String[] fcnames, int ngrps, MRTask mrfill) {
// Build the output!
// the names of columns
final int nCols = gbCols.length+noutCols;
String[] names = new String[nCols];
String[][] domains = new String[nCols][];
for( int i=0;i<gbCols.length; i++ ) {
names [i] = fr.name (gbCols[i]);
domains[i] = fr.domains()[gbCols[i]];
}
for( int i=0; i<fcnames.length; i++ )
names[i+gbCols.length] = fcnames[i];
Vec v = Vec.makeZero(ngrps); // dummy layout vec
// Convert the output arrays into a Frame, also doing the post-pass work
Frame f= mrfill.doAll_numericResult(nCols,new Frame(v)).outputFrame(names,domains);
v.remove();
return f;
}
示例2: testModelAdaptMissing
import water.fvec.Frame; //导入方法依赖的package包/类
@Test public void testModelAdaptMissing() {
AModel.AParms p = new AModel.AParms();
AModel.AOutput o = new AModel.AOutput();
Vec cat = vec(new String[]{"A","B"},0,1,0,1);
Frame trn = new Frame();
trn.add("cat",cat);
o._names = trn.names();
o._domains = trn.domains();
trn.remove();
AModel am = new AModel(Key.make(),p,o);
Frame tst = new Frame();
tst.add("cat", cat.makeCon(Double.NaN)); // All NAN/missing column
Frame adapt = new Frame(tst);
String[] warns = am.adaptTestForTrain(adapt,true, true);
Assert.assertTrue(warns.length == 0); // No errors during adaption
Model.cleanup_adapt( adapt, tst );
tst.remove();
}
示例3: testModelAdaptConvert
import water.fvec.Frame; //导入方法依赖的package包/类
@Test public void testModelAdaptConvert() {
AModel.AParms p = new AModel.AParms();
AModel.AOutput o = new AModel.AOutput();
Frame trn = new Frame();
trn.add("dog",vec(new String[]{"A","B"},0,1,0,1));
o._names = trn.names();
o._domains = trn.domains();
trn.remove();
AModel am = new AModel(Key.make(),p,o);
Frame tst = new Frame();
tst.add("dog",vec(2, 3, 2, 3));
Frame adapt = new Frame(tst);
boolean saw_iae = false;
try { am.adaptTestForTrain(adapt, true, true); }
catch( IllegalArgumentException iae ) { saw_iae = true; }
Assert.assertTrue(saw_iae);
Model.cleanup_adapt( adapt, tst );
tst.remove();
}
示例4: testModelAdaptMultinomial
import water.fvec.Frame; //导入方法依赖的package包/类
@Test public void testModelAdaptMultinomial() {
Frame trn = parse_test_file("smalldata/junit/mixcat_train.csv");
AModel.AParms p = new AModel.AParms();
AModel.AOutput o = new AModel.AOutput();
o._names = trn.names();
o._domains = trn.domains();
trn.remove();
AModel am = new AModel(Key.make(),p,o);
Frame tst = parse_test_file("smalldata/junit/mixcat_test.csv");
Frame adapt = new Frame(tst);
String[] warns = am.adaptTestForTrain(adapt,true, true);
Assert.assertTrue(ArrayUtils.find(warns,"Test/Validation dataset column 'Feature_1' has levels not trained on: [D]")!= -1);
Assert.assertTrue(ArrayUtils.find(warns, "Test/Validation dataset is missing training column 'Const': substituting in a column of NAs") != -1);
Assert.assertTrue(ArrayUtils.find(warns, "Test/Validation dataset is missing training column 'Useless': substituting in a column of NAs") != -1);
Assert.assertTrue(ArrayUtils.find(warns, "Test/Validation dataset column 'Response' has levels not trained on: [W]") != -1);
// Feature_1: merged test & train domains
Assert.assertArrayEquals(adapt.vec("Feature_1").domain(),new String[]{"A","B","C","D"});
// Const: all NAs
Assert.assertTrue(adapt.vec("Const").isBad());
// Useless: all NAs
Assert.assertTrue(adapt.vec("Useless").isBad());
// Response: merged test & train domains
Assert.assertArrayEquals(adapt.vec("Response").domain(),new String[]{"X","Y","Z","W"});
Model.cleanup_adapt( adapt, tst );
tst.remove();
}