// Call when these models are runnable but not logged in the current assignment
// e.g., have been loaded from a saved project.
// TODO: MUST SAVE MODEL LOADER HERE TOO!
private void logFirstRunInAssignmentWithNewModels(Wekinator w) throws IOException {
List<Path> paths = w.getSupervisedLearningManager().getPaths();
Long t = ts();
pw.println(
t
+ ","
+ w.getID()
+ ",FIRST_ASSIGNMENT_MODEL_LOG,NUM_MODELS="
+ paths.size()
+ ",MODEL_SET="
+ modelSetID);
String baseName = "model_" + modelSetID + "_";
int i = 0;
int numInputs = w.getInputManager().getNumInputs();
int numOutputs = w.getOutputManager().getOutputGroup().getNumOutputs();
int numMetaData = w.getDataManager().getNumMetaData();
for (Path p : paths) {
String f = currentAssignmentDir + baseName + i + ".xml";
pw.println(
t
+ ","
+ w.getID()
+ ",MODEL_NUM="
+ i
+ ","
+ baseName
+ i
+ ".xml,"
+ p.getModelBuilder().toLogString());
p.writeToFile(f);
// Write to another file:
// int numInputs, int numOutputs, int numMetaData, Instances dummyInstances, Filter
// outputFilter) {
Instances dummyInstances = w.getDataManager().getDummyInstances();
String outputFilterString = w.getDataManager().getOutputFilterString(i);
LoadableInstanceMaker m;
try {
m =
new LoadableInstanceMaker(
numInputs, numOutputs, numMetaData, dummyInstances, outputFilterString);
String f2 = currentAssignmentDir + baseName + i + "_m.xml";
m.writeToFile(f2);
} catch (Exception ex) {
Logger.getLogger(Assignment12Logger.class.getName()).log(Level.SEVERE, null, ex);
}
i++;
}
GlobalSettings.getInstance().setIntValue("modelSetID", modelSetID);
modelSetID++;
hasLoggedModelsInThisAssignment = true;
}
private void doAssignmentSetup(KadenzeAssignmentType a) {
GlobalSettings gs = GlobalSettings.getInstance();
int lastModelSetID = gs.getIntValue("modelSetID", 0);
modelSetID = lastModelSetID + 1;
}
@Override
public void supervisedTrainFinished(Wekinator w) throws IOException {
// Make sure we're getting info about feature selection too
// Need: Serialized models (1 per timestamped file is fine), with training data for each model
// Probably want good way of storing binary serialization data into XML as well
// Want info about which models are currently run-enabled.
List<Path> paths = w.getSupervisedLearningManager().getPaths();
Long t = ts();
pw.println(
t
+ ","
+ w.getID()
+ ",TRAIN_FINISHED,NUM_MODELS="
+ paths.size()
+ ",MODEL_SET="
+ modelSetID);
String baseName = "model_" + modelSetID + "_";
int i = 0;
int numInputs = w.getInputManager().getNumInputs();
int numOutputs = w.getOutputManager().getOutputGroup().getNumOutputs();
int numMetaData = w.getDataManager().getNumMetaData();
for (Path p : paths) {
String f = currentAssignmentDir + baseName + i + ".xml";
// pw.println(t + "," + w.getID() + ",MODEL_NUM=" + i + "," + baseName + i + ".xml");
pw.println(
t
+ ","
+ w.getID()
+ ",MODEL_NUM="
+ i
+ ","
+ baseName
+ i
+ ".xml,"
+ p.getModelBuilder().toLogString());
p.writeToFile(f);
// Write to another file:
// int numInputs, int numOutputs, int numMetaData, Instances dummyInstances, Filter
// outputFilter) {
Instances dummyInstances = w.getDataManager().getDummyInstances();
String outputFilterString = w.getDataManager().getOutputFilterString(i);
LoadableInstanceMaker m;
try {
m =
new LoadableInstanceMaker(
numInputs, numOutputs, numMetaData, dummyInstances, outputFilterString);
String f2 = currentAssignmentDir + baseName + i + "_m.xml";
m.writeToFile(f2);
} catch (Exception ex) {
Logger.getLogger(Assignment12Logger.class.getName()).log(Level.SEVERE, null, ex);
}
i++;
}
GlobalSettings.getInstance().setIntValue("modelSetID", modelSetID);
modelSetID++;
hasLoggedModelsInThisAssignment = true;
}