本文整理了Java中water.Job.<init>()方法的一些代码示例，展示了Job.<init>()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Job.<init>()方法的具体详情如下：
包路径：water.Job
类名称：Job
方法名：<init>

Job.<init>介绍

[英]Private copy constructor used by JobHandle.
[中]JobHandle使用的私有副本构造函数。

代码示例

代码示例来源：origin: h2oai/h2o-3

public H2OJob(H2ORunnable runnable, Key key, long max_runtime_msecs) {
 _target = runnable;
 _job = new Job<>(key, _target.getClass().getName(), _target.getClass().getSimpleName() + " build");
 _jobKey = _job._key;
 _job._max_runtime_msecs = max_runtime_msecs;
}

代码示例来源：origin: h2oai/h2o-3

Job<Model> job = new Job<>(key, ModelBuilder.javaName(algo.urlName()), algoName);
ModelBuilder builder = ModelBuilder.make(algo.urlName(), job, key);
Model.Parameters defaults = builder._parms;

代码示例来源：origin: h2oai/h2o-3

Key<Model> metalearnerKey = Key.<Model>make("metalearner_" + metalearnerAlgoSpec + "_" + _model._key);
Job metalearnerJob = new Job<>(metalearnerKey, ModelBuilder.javaName(metalearnerAlgoImpl.toString()),
    "StackingEnsemble metalearner (" + metalearnerAlgoSpec + ")");

代码示例来源：origin: h2oai/h2o-3

Job calibJob = new Job<>(calibModelKey, ModelBuilder.javaName("glm"), "Platt Scaling (GLM)");
GLM calibBuilder = ModelBuilder.make("GLM", calibJob, calibModelKey);
calibBuilder._parms._intercept = true;

代码示例来源：origin: h2oai/h2o-3

assertNotNull(model);
final Job j = new Job<>(Key.make(), parms.javaName(), parms.algoName());
j.start(new H2O.H2OCountedCompleter() {
  @Override

代码示例来源：origin: ai.h2o/h2o-automl

public H2OJob(H2ORunnable runnable, Key key, long max_runtime_msecs) {
 _target = runnable;
 _job = new Job<>(key, _target.getClass().getName(), _target.getClass().getSimpleName() + " build");
 _jobKey = _job._key;
 _job._max_runtime_msecs = max_runtime_msecs;
}

代码示例来源：origin: ai.h2o/h2o-automl

Job<Model> job = new Job<>(key, ModelBuilder.javaName(algo.urlName()), algoName);
ModelBuilder builder = ModelBuilder.make(algo.urlName(), job, key);
Model.Parameters defaults = builder._parms;

代码示例来源：origin: ai.h2o/h2o-algos

Key<Model> metalearnerKey = Key.<Model>make("metalearner_" + metalearnerAlgoSpec + "_" + _model._key);
Job metalearnerJob = new Job<>(metalearnerKey, ModelBuilder.javaName(metalearnerAlgoImpl.toString()),
    "StackingEnsemble metalearner (" + metalearnerAlgoSpec + ")");

代码示例来源：origin: ai.h2o/h2o-algos

Job calibJob = new Job<>(calibModelKey, ModelBuilder.javaName("glm"), "Platt Scaling (GLM)");
GLM calibBuilder = ModelBuilder.make("GLM", calibJob, calibModelKey);
calibBuilder._parms._intercept = true;