/**
* Returns a list of all jobs in a system.
*
* @return list of all jobs including running, done, cancelled, crashed jobs.
*/
public static Job[] all() {
List list = UKV.get(LIST);
Job[] jobs = new Job[list == null ? 0 : list._jobs.length];
int j = 0;
for (int i = 0; i < jobs.length; i++) {
Job job = UKV.get(list._jobs[i]);
if (job != null) jobs[j++] = job;
}
if (j < jobs.length) jobs = Arrays.copyOf(jobs, j);
return jobs;
}
static final int findResponseIdx(RFModel model) {
String nresponse = model.responseName();
ValueArray ary = UKV.get(model._dataKey);
int idx = 0;
for (ValueArray.Column cols : ary._cols)
if (nresponse.equals(cols._name)) return idx;
else idx++;
return -1;
}
public void onException(Throwable ex) {
UKV.remove(dest());
Value v = DKV.get(progressKey());
if (v != null) {
ChunkProgress p = v.get();
p = p.error(ex.getMessage());
DKV.put(progressKey(), p);
}
cancel(ex);
}
protected String[] getVectorDomain(final Vec v) {
assert v == null || v.isInt() || v.isEnum() : "Cannot get vector domain!";
if (v == null) return null;
String[] r;
if (v.isEnum()) {
r = v.domain();
} else {
Vec tmp = v.toEnum();
r = tmp.domain();
UKV.remove(tmp._key);
}
return r;
}
/**
* Start this task based on given top-level fork-join task representing job computation.
*
* @param fjtask top-level job computation task.
* @return this job in {@link JobState#RUNNING} state
* @see JobState
* @see H2OCountedCompleter
*/
public
/** FIXME: should be final or at least protected */
Job start(final H2OCountedCompleter fjtask) {
assert state == JobState.CREATED : "Trying to run job which was already run?";
assert fjtask != null : "Starting a job with null working task is not permitted! Fix you API";
_fjtask = fjtask;
start_time = System.currentTimeMillis();
state = JobState.RUNNING;
// Save the full state of the job
UKV.put(self(), this);
// Update job list
new TAtomic<List>() {
@Override
public List atomic(List old) {
if (old == null) old = new List();
Key[] jobs = old._jobs;
old._jobs = Arrays.copyOf(jobs, jobs.length + 1);
old._jobs[jobs.length] = job_key;
return old;
}
}.invoke(LIST);
return this;
}
@Override
protected Response serve() {
int tasks = 0;
int finished = 0;
RFModel model = _modelKey.value();
double[] weights = _weights.value();
// Finish refresh after rf model is done and confusion matrix for all trees is computed
boolean done = false;
int classCol = _classCol.specified() ? _classCol.value() : findResponseIdx(model);
tasks = model._totalTrees;
finished = model.size();
// Handle cancelled/aborted jobs
if (_job.value() != null) {
Job jjob = Job.findJob(_job.value());
if (jjob != null && jjob.isCancelled())
return Response.error(
jjob.exception == null ? "Job was cancelled by user!" : jjob.exception);
}
JsonObject response = defaultJsonResponse();
// CM return and possible computation is requested
if (!_noCM.value() && (finished == tasks || _iterativeCM.value()) && finished > 0) {
// Compute the highest number of trees which is less then a threshold
int modelSize = tasks * _refreshThresholdCM.value() / 100;
modelSize =
modelSize == 0 || finished == tasks ? finished : modelSize * (finished / modelSize);
// Get the computing the matrix - if no job is computing, then start a new job
Job cmJob =
ConfusionTask.make(
model, modelSize, _dataKey.value()._key, classCol, weights, _oobee.value());
// Here the the job is running - it saved a CM which can be already finished or in invalid
// state.
CMFinal confusion = UKV.get(cmJob.dest());
// if the matrix is valid, report it in the JSON
if (confusion != null && confusion.valid() && modelSize > 0) {
// finished += 1;
JsonObject cm = new JsonObject();
JsonArray cmHeader = new JsonArray();
JsonArray matrix = new JsonArray();
cm.addProperty(JSON_CM_TYPE, _oobee.value() ? "OOB error estimate" : "full scoring");
cm.addProperty(JSON_CM_CLASS_ERR, confusion.classError());
cm.addProperty(JSON_CM_ROWS_SKIPPED, confusion.skippedRows());
cm.addProperty(JSON_CM_ROWS, confusion.rows());
// create the header
for (String s : cfDomain(confusion, 1024)) cmHeader.add(new JsonPrimitive(s));
cm.add(JSON_CM_HEADER, cmHeader);
// add the matrix
final int nclasses = confusion.dimension();
JsonArray classErrors = new JsonArray();
for (int crow = 0; crow < nclasses; ++crow) {
JsonArray row = new JsonArray();
int classHitScore = 0;
for (int ccol = 0; ccol < nclasses; ++ccol) {
row.add(new JsonPrimitive(confusion.matrix(crow, ccol)));
if (crow != ccol) classHitScore += confusion.matrix(crow, ccol);
}
// produce infinity members in case of 0.f/0
classErrors.add(
new JsonPrimitive(
(float) classHitScore / (classHitScore + confusion.matrix(crow, crow))));
matrix.add(row);
}
cm.add(JSON_CM_CLASSES_ERRORS, classErrors);
cm.add(JSON_CM_MATRIX, matrix);
cm.addProperty(JSON_CM_TREES, modelSize);
response.add(JSON_CM, cm);
// Signal end only and only if all trees were generated and confusion matrix is valid
done = finished == tasks;
}
} else if (_noCM.value() && finished == tasks) done = true;
// Trees
JsonObject trees = new JsonObject();
trees.addProperty(Constants.TREE_COUNT, model.size());
if (model.size() > 0) {
trees.add(Constants.TREE_DEPTH, model.depth().toJson());
trees.add(Constants.TREE_LEAVES, model.leaves().toJson());
}
response.add(Constants.TREES, trees);
// Build a response
Response r;
if (done) {
r = jobDone(response);
r.addHeader(
"<div class='alert'>"
+ /*RFScore.link(MODEL_KEY, model._key, "Use this model for scoring.") */ GeneratePredictionsPage
.link(model._key, "Predict!")
+ " </div>");
} else {
r = Response.poll(response, finished, tasks);
}
r.setBuilder(JSON_CM, new ConfusionMatrixBuilder());
r.setBuilder(TREES, new TreeListBuilder());
return r;
}
@Override
public void remove() {
super.remove();
UKV.remove(_progress);
}
public ChunkProgressJob(long chunksTotal, Key destinationKey) {
destination_key = destinationKey;
_progress =
Key.make(Key.make()._kb, (byte) 0, Key.DFJ_INTERNAL_USER, destinationKey.home_node());
UKV.put(_progress, new ChunkProgress(chunksTotal));
}
/**
* Finds a job with given key or returns null.
*
* @param jobkey job key
* @return returns a job with given job key or null if a job is not found.
*/
public static Job findJob(final Key jobkey) {
return UKV.get(jobkey);
}
/**
* Check if given job is running.
*
* @param job_key job key
* @return true if job is still running else returns false.
*/
public static boolean isRunning(Key job_key) {
Job j = UKV.get(job_key);
assert j != null : "Job should be always in DKV!";
return j.isRunning();
}
/**
* Blocks and get result of this job.
*
* <p>The call blocks on working task which was passed via {@link #start(H2OCountedCompleter)}
* method and returns the result which is fetched from UKV based on job destination key.
*
* @return result of this job fetched from UKV by destination key.
* @see #start(H2OCountedCompleter)
* @see UKV
*/
public <T> T get() {
_fjtask.join(); // Block until top-level job is done
T ans = (T) UKV.get(destination_key);
remove(); // Remove self-job
return ans;
}
/**
* Return progress of this job.
*
* @return the value in interval <0,1> representing job progress.
*/
public float progress() {
Freezable f = UKV.get(destination_key);
if (f instanceof Progress) return ((Progress) f).progress();
return 0;
}
