public class DeepLearning.DeepLearningDriver
extends water.H2O.H2OCountedCompleter<hex.ModelBuilder.Driver>
| Constructor and Description |
|---|
DeepLearningDriver() |
| Modifier and Type | Method and Description |
|---|---|
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
|
void |
checkNonAutoParmsNotChanged(hex.Model.Parameters params1,
hex.Model.Parameters params2) |
void |
computeImpl() |
void |
initActualParamValues() |
DeepLearningModel |
trainModel(DeepLearningModel model)
Train a Deep Learning neural net model
|
asBytes, clone, compute, compute1, currThrPriority, frozenType, icer, priority, read, readJSON, reloadFromBytes, write, writeJSON__tryComplete, addToPendingCount, compareAndSetPendingCount, complete, exec, getCompleter, getPendingCount, getRawResult, setCompleter, setPendingCount, setRawResult, tryCompleteadapt, adapt, adapt, cancel, compareAndSetForkJoinTaskTag, completeExceptionally, fork, get, 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, tryUnforkpublic void computeImpl()
public void checkNonAutoParmsNotChanged(hex.Model.Parameters params1,
hex.Model.Parameters params2)
public final void buildModel()
public final DeepLearningModel trainModel(DeepLearningModel model)
model - Input model (e.g., from initModel(), or from a previous training run)public void initActualParamValues()