@Override
public boolean toHTML(StringBuilder sb) {
if (classification) {
DocGen.HTML.section(sb, "Confusion Matrix");
if (cm == null) return true;
printConfusionMatrix(sb, cm, domain, true);
} else {
DocGen.HTML.section(sb, "Mean Squared Error");
if (mse == Double.NaN) return true;
DocGen.HTML.arrayHead(sb);
sb.append("<tr class='warning'><td>" + mse + "</td></tr>");
DocGen.HTML.arrayTail(sb);
}
return true;
}
@Override
public boolean toHTML(StringBuilder sb) {
Job jjob = Job.findJob(job_key);
DRFModel m = UKV.get(jjob.dest());
if (m != null) m.generateHTML("DRF Model", sb);
else DocGen.HTML.paragraph(sb, "Pending...");
return true;
}
@Override
public boolean toHTML(StringBuilder sb) {
DocGen.HTML.section(
sb,
"Export done. Key '"
+ src_key.toString()
+ "' was written to "
+ (_local && H2O.CLOUD.size() > 1 ? H2O.SELF_ADDRESS + ":" : "")
+ path.toString());
return true;
}
@Override
public boolean toHTML(StringBuilder sb) {
DocGen.HTML.paragraph(sb, "All keys are now unlocked.");
return true;
}
@Override
public boolean toHTML(StringBuilder sb) {
if (jobs != null) {
DocGen.HTML.arrayHead(sb);
sb.append("<tr class='warning'>");
ArrayList<Argument> args = jobs[0].arguments();
// Filter some keys to simplify UI
args = (ArrayList<Argument>) args.clone();
filter(
args,
"destination_key",
"source",
"cols",
"ignored_cols_by_name",
"response",
"classification",
"validation");
for (int i = 0; i < args.size(); i++)
sb.append("<td><b>").append(args.get(i)._name).append("</b></td>");
sb.append("<td><b>").append("run time").append("</b></td>");
String perf = jobs[0].speedDescription();
if (perf != null) sb.append("<td><b>").append(perf).append("</b></td>");
sb.append("<td><b>").append("model key").append("</b></td>");
sb.append("<td><b>").append("prediction error").append("</b></td>");
sb.append("<td><b>").append("F1 score").append("</b></td>");
sb.append("</tr>");
ArrayList<JobInfo> infos = new ArrayList<JobInfo>();
for (Job job : jobs) {
JobInfo info = new JobInfo();
info._job = job;
Object value = UKV.get(job.destination_key);
info._model = value instanceof Model ? (Model) value : null;
if (info._model != null) info._cm = info._model.cm();
if (info._cm != null) info._error = info._cm.err();
infos.add(info);
}
Collections.sort(
infos,
new Comparator<JobInfo>() {
@Override
public int compare(JobInfo a, JobInfo b) {
return Double.compare(a._error, b._error);
}
});
for (JobInfo info : infos) {
sb.append("<tr>");
for (Argument a : args) {
try {
Object value = a._field.get(info._job);
String s;
if (value instanceof int[]) s = Utils.sampleToString((int[]) value, 20);
else s = "" + value;
sb.append("<td>").append(s).append("</td>");
} catch (Exception e) {
throw new RuntimeException(e);
}
}
String runTime = "Pending", speed = "";
if (info._job.start_time != 0) {
runTime = PrettyPrint.msecs(info._job.runTimeMs(), true);
speed = perf != null ? PrettyPrint.msecs(info._job.speedValue(), true) : "";
}
sb.append("<td>").append(runTime).append("</td>");
if (perf != null) sb.append("<td>").append(speed).append("</td>");
String link = info._job.destination_key.toString();
if (info._job.start_time != 0 && DKV.get(info._job.destination_key) != null) {
if (info._model instanceof GBMModel)
link = GBMModelView.link(link, info._job.destination_key);
else if (info._model instanceof NeuralNetModel)
link = NeuralNetProgress.link(info._job.self(), info._job.destination_key, link);
if (info._model instanceof KMeans2Model)
link = KMeans2ModelView.link(link, info._job.destination_key);
else link = Inspect.link(link, info._job.destination_key);
}
sb.append("<td>").append(link).append("</td>");
String pct = "", f1 = "";
if (info._cm != null) {
pct = String.format("%.2f", 100 * info._error) + "%";
if (info._cm._arr.length == 2)
f1 = String.format("%.2f", info._cm.precisionAndRecall());
}
sb.append("<td><b>").append(pct).append("</b></td>");
sb.append("<td><b>").append(f1).append("</b></td>");
sb.append("</tr>");
}
DocGen.HTML.arrayTail(sb);
}
return true;
}