Look at the test examples for the classes that inherit from FeatureValueEncoder. Also look at AdaptiveLogisticRegression and related tests.
On Thu, Jun 2, 2011 at 12:55 PM, Svetlomir Kasabov < [email protected]> wrote: > Hello, > > I have looked at the donut-example for Logistic Regression and have > noticed, that a CSV file is used for the training and the test examples. My > problem is, that my test examples are usually POJOs ( Plain Old Java > Objects, which have usually nothing to do with the CSV format). In other > words, I need to simulate this code for probability calculation without > using CSV: > > /LogisticModelParameters lmp = LogisticModelParameters.loadFrom(new > File(LOGISTIC_MODEL_PATH)); > CsvRecordFactory csv = lmp.getCsvRecordFactory(); > OnlineLogisticRegression lr = lmp.createRegression(); > ... > Vector v = new SequentialAccessSparseVector(lmp.getNumFeatures()); > int target = csv.processLine(line, v); //here 'line is the entry from the > CSV file' > double score = lr.classifyScalar(v); > / > > Is there a way to do this? Can you please provide some sample code? > > Thanks a lot and best regards. > > Svetlomir. > > > > > > > > > >
