public class DeepLearning.DeepLearningDriver extends water.H2O.H2OCountedCompleter<DeepLearning.DeepLearningDriver>
Constructor and Description |
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DeepLearning.DeepLearningDriver() |
Modifier and Type | Method and Description |
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void |
buildModel()
Train a Deep Learning model, assumes that all members are populated
If checkpoint == null, then start training a new model, otherwise continue from a checkpoint
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protected void |
compute2() |
DeepLearningModel |
trainModel(DeepLearningModel model)
Train a Deep Learning neural net model
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clone, compute, frozenType, icer, nextThrPriority, onExceptionalCompletion, priority, read_impl, read, readJSON_impl, readJSON, write_impl, write, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON
addToPendingCount, compareAndSetPendingCount, complete, exec, getCompleter, getPendingCount, getRawResult, onCompletion, setCompleter, setPendingCount, setRawResult, tryComplete
adapt, adapt, adapt, cancel, compareAndSetForkJoinTaskTag, completeExceptionally, fork, get, get, getException, getForkJoinTaskTag, getPool, getQueuedTaskCount, getSurplusQueuedTaskCount, helpQuiesce, inForkJoinPool, invoke, invokeAll, invokeAll, invokeAll, isCancelled, isCompletedAbnormally, isCompletedNormally, isDone, join, peekNextLocalTask, pollNextLocalTask, pollTask, quietlyComplete, quietlyInvoke, quietlyJoin, reinitialize, setForkJoinTaskTag, tryUnfork
protected void compute2()
compute2
in class water.H2O.H2OCountedCompleter<DeepLearning.DeepLearningDriver>
public final void buildModel()
public final DeepLearningModel trainModel(DeepLearningModel model)
model
- Input model (e.g., from initModel(), or from a previous training run)