trait H2ODeepLearningParams extends H2OAlgoParamsBase with HasInitialBiases with HasInitialWeights with HasIgnoredCols
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- H2ODeepLearningParams
- HasIgnoredCols
- HasInitialWeights
- HasInitialBiases
- H2OAlgoParamsBase
- H2OFrameLifecycle
- ParameterConstructorMethods
- Params
- Serializable
- Serializable
- Identifiable
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Visibility
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implicit
class
ParametersExtraMethods extends AnyRef
- Definition Classes
- H2OAlgoParamsBase
Abstract Value Members
Concrete Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
$[T](param: Param[T]): T
- Attributes
- protected
- Definition Classes
- Params
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
val
activation: Param[String]
- Attributes
- protected
-
val
adaptiveRate: BooleanParam
- Attributes
- protected
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
val
aucType: Param[String]
- Attributes
- protected
-
val
averageActivation: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
balanceClasses: BooleanParam
- Attributes
- protected
-
def
booleanParam(name: String, doc: String): BooleanParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
calculateFeatureImportances: BooleanParam
- Attributes
- protected
-
val
categoricalEncoding: Param[String]
- Attributes
- protected
-
val
classSamplingFactors: NullableFloatArrayParam
- Attributes
- protected
-
val
classificationStop: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
final
def
clear(param: Param[_]): H2ODeepLearningParams.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
convert2dArrayToH2OFrame(input: Array[Array[Double]]): String
- Attributes
- protected
- Definition Classes
- H2OAlgoParamsBase
-
def
convertDataFrameToH2OFrameKey(dataFrame: DataFrame): String
- Attributes
- protected
- Definition Classes
- H2OAlgoParamsBase
-
def
convertMatrixToH2OFrameKeyArray(matrix: Array[DenseMatrix]): Array[String]
- Attributes
- protected
- Definition Classes
- H2OAlgoParamsBase
-
def
convertVectorArrayToH2OFrameKeyArray(vectors: Array[DenseVector]): Array[String]
- Attributes
- protected
- Definition Classes
- H2OAlgoParamsBase
-
def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
val
diagnostics: BooleanParam
- Attributes
- protected
-
val
distribution: Param[String]
- Attributes
- protected
-
def
doubleArrayParam(name: String, doc: String): DoubleArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
doubleParam(name: String, doc: String): org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
elasticAveraging: BooleanParam
- Attributes
- protected
-
val
elasticAveragingMovingRate: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
elasticAveragingRegularization: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
epochs: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
epsilon: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
val
exportCheckpointsDir: NullableStringParam
- Attributes
- protected
-
val
exportWeightsAndBiases: BooleanParam
- Attributes
- protected
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
val
fastMode: BooleanParam
- Attributes
- protected
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
floatParam(name: String, doc: String): FloatParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
foldAssignment: Param[String]
- Attributes
- protected
-
val
foldCol: NullableStringParam
- Attributes
- protected
-
val
forceLoadBalance: BooleanParam
- Attributes
- protected
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getActivation(): String
- def getAdaptiveRate(): Boolean
- def getAucType(): String
- def getAverageActivation(): Double
- def getBalanceClasses(): Boolean
- def getCalculateFeatureImportances(): Boolean
- def getCategoricalEncoding(): String
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getClassSamplingFactors(): Array[Float]
- def getClassificationStop(): Double
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getDiagnostics(): Boolean
- def getDistribution(): String
- def getElasticAveraging(): Boolean
- def getElasticAveragingMovingRate(): Double
- def getElasticAveragingRegularization(): Double
- def getEpochs(): Double
- def getEpsilon(): Double
- def getExportCheckpointsDir(): String
- def getExportWeightsAndBiases(): Boolean
- def getFastMode(): Boolean
- def getFoldAssignment(): String
- def getFoldCol(): String
- def getForceLoadBalance(): Boolean
- def getHidden(): Array[Int]
- def getHiddenDropoutRatios(): Array[Double]
- def getHuberAlpha(): Double
- def getIgnoreConstCols(): Boolean
-
def
getIgnoredCols(): Array[String]
- Definition Classes
- HasIgnoredCols
-
def
getInitialBiases(): Array[DenseVector]
- Definition Classes
- HasInitialBiases
- def getInitialWeightDistribution(): String
- def getInitialWeightScale(): Double
-
def
getInitialWeights(): Array[DenseMatrix]
- Definition Classes
- HasInitialWeights
- def getInputDropoutRatio(): Double
- def getKeepCrossValidationFoldAssignment(): Boolean
- def getKeepCrossValidationModels(): Boolean
- def getKeepCrossValidationPredictions(): Boolean
- def getL1(): Double
- def getL2(): Double
- def getLabelCol(): String
- def getLoss(): String
- def getMaxAfterBalanceSize(): Float
- def getMaxCategoricalFeatures(): Int
- def getMaxRuntimeSecs(): Double
- def getMaxW2(): Float
- def getMiniBatchSize(): Int
- def getMissingValuesHandling(): String
- def getModelId(): String
- def getMomentumRamp(): Double
- def getMomentumStable(): Double
- def getMomentumStart(): Double
- def getNesterovAcceleratedGradient(): Boolean
- def getNfolds(): Int
- def getOffsetCol(): String
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
- def getOverwriteWithBestModel(): Boolean
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
- def getQuantileAlpha(): Double
- def getQuietMode(): Boolean
- def getRate(): Double
- def getRateAnnealing(): Double
- def getRateDecay(): Double
- def getRegressionStop(): Double
- def getReplicateTrainingData(): Boolean
- def getReproducible(): Boolean
- def getRho(): Double
- def getScoreDutyCycle(): Double
- def getScoreEachIteration(): Boolean
- def getScoreInterval(): Double
- def getScoreTrainingSamples(): Long
- def getScoreValidationSamples(): Long
- def getScoreValidationSampling(): String
- def getSeed(): Long
- def getShuffleTrainingData(): Boolean
- def getSingleNodeMode(): Boolean
- def getSparse(): Boolean
- def getSparsityBeta(): Double
- def getStandardize(): Boolean
- def getStoppingMetric(): String
- def getStoppingRounds(): Int
- def getStoppingTolerance(): Double
- def getTargetRatioCommToComp(): Double
- def getTrainSamplesPerIteration(): Long
- def getTweediePower(): Double
- def getUseAllFactorLevels(): Boolean
- def getWeightCol(): String
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
val
hidden: IntArrayParam
- Attributes
- protected
-
val
hiddenDropoutRatios: NullableDoubleArrayParam
- Attributes
- protected
-
val
huberAlpha: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
ignoreConstCols: BooleanParam
- Attributes
- protected
-
val
initialWeightDistribution: Param[String]
- Attributes
- protected
-
val
initialWeightScale: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
inputDropoutRatio: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
def
intArrayParam(name: String, doc: String): IntArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
intParam(name: String, doc: String): IntParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
val
keepCrossValidationFoldAssignment: BooleanParam
- Attributes
- protected
-
val
keepCrossValidationModels: BooleanParam
- Attributes
- protected
-
val
keepCrossValidationPredictions: BooleanParam
- Attributes
- protected
-
val
l1: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
l2: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
labelCol: Param[String]
- Attributes
- protected
-
def
longParam(name: String, doc: String): LongParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
loss: Param[String]
- Attributes
- protected
-
val
maxAfterBalanceSize: FloatParam
- Attributes
- protected
-
val
maxCategoricalFeatures: IntParam
- Attributes
- protected
-
val
maxRuntimeSecs: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
maxW2: FloatParam
- Attributes
- protected
-
val
miniBatchSize: IntParam
- Attributes
- protected
-
val
missingValuesHandling: Param[String]
- Attributes
- protected
-
val
modelId: NullableStringParam
- Attributes
- protected
-
val
momentumRamp: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
momentumStable: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
momentumStart: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
val
nesterovAcceleratedGradient: BooleanParam
- Attributes
- protected
-
val
nfolds: IntParam
- Attributes
- protected
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
nullableBooleanArrayParam(name: String, doc: String): NullableBooleanArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
nullableStringParam(name: String, doc: String): NullableStringParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
val
offsetCol: NullableStringParam
- Attributes
- protected
-
val
overwriteWithBestModel: BooleanParam
- Attributes
- protected
-
def
param[T](name: String, doc: String): Param[T]
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
paramTag: ClassTag[DeepLearningParameters]
- Attributes
- protected
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
val
quantileAlpha: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
quietMode: BooleanParam
- Attributes
- protected
-
val
rate: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
rateAnnealing: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
rateDecay: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
regressionStop: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
replicateTrainingData: BooleanParam
- Attributes
- protected
-
val
reproducible: BooleanParam
- Attributes
- protected
-
val
rho: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
scoreDutyCycle: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
scoreEachIteration: BooleanParam
- Attributes
- protected
-
val
scoreInterval: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
scoreTrainingSamples: LongParam
- Attributes
- protected
-
val
scoreValidationSamples: LongParam
- Attributes
- protected
-
val
scoreValidationSampling: Param[String]
- Attributes
- protected
-
val
seed: LongParam
- Attributes
- protected
-
final
def
set(paramPair: ParamPair[_]): H2ODeepLearningParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): H2ODeepLearningParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
- Definition Classes
- Params
- def setActivation(value: String): H2ODeepLearningParams.this.type
- def setAdaptiveRate(value: Boolean): H2ODeepLearningParams.this.type
- def setAucType(value: String): H2ODeepLearningParams.this.type
- def setAverageActivation(value: Double): H2ODeepLearningParams.this.type
- def setBalanceClasses(value: Boolean): H2ODeepLearningParams.this.type
- def setCalculateFeatureImportances(value: Boolean): H2ODeepLearningParams.this.type
- def setCategoricalEncoding(value: String): H2ODeepLearningParams.this.type
- def setClassSamplingFactors(value: Array[Float]): H2ODeepLearningParams.this.type
- def setClassificationStop(value: Double): H2ODeepLearningParams.this.type
-
final
def
setDefault(paramPairs: ParamPair[_]*): H2ODeepLearningParams.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): H2ODeepLearningParams.this.type
- Attributes
- protected
- Definition Classes
- Params
- def setDiagnostics(value: Boolean): H2ODeepLearningParams.this.type
- def setDistribution(value: String): H2ODeepLearningParams.this.type
- def setElasticAveraging(value: Boolean): H2ODeepLearningParams.this.type
- def setElasticAveragingMovingRate(value: Double): H2ODeepLearningParams.this.type
- def setElasticAveragingRegularization(value: Double): H2ODeepLearningParams.this.type
- def setEpochs(value: Double): H2ODeepLearningParams.this.type
- def setEpsilon(value: Double): H2ODeepLearningParams.this.type
- def setExportCheckpointsDir(value: String): H2ODeepLearningParams.this.type
- def setExportWeightsAndBiases(value: Boolean): H2ODeepLearningParams.this.type
- def setFastMode(value: Boolean): H2ODeepLearningParams.this.type
- def setFoldAssignment(value: String): H2ODeepLearningParams.this.type
- def setFoldCol(value: String): H2ODeepLearningParams.this.type
- def setForceLoadBalance(value: Boolean): H2ODeepLearningParams.this.type
- def setHidden(value: Array[Int]): H2ODeepLearningParams.this.type
- def setHiddenDropoutRatios(value: Array[Double]): H2ODeepLearningParams.this.type
- def setHuberAlpha(value: Double): H2ODeepLearningParams.this.type
- def setIgnoreConstCols(value: Boolean): H2ODeepLearningParams.this.type
-
def
setIgnoredCols(value: Array[String]): H2ODeepLearningParams.this.type
- Definition Classes
- HasIgnoredCols
-
def
setInitialBiases(value: Array[DenseVector]): H2ODeepLearningParams.this.type
- Definition Classes
- HasInitialBiases
- def setInitialWeightDistribution(value: String): H2ODeepLearningParams.this.type
- def setInitialWeightScale(value: Double): H2ODeepLearningParams.this.type
-
def
setInitialWeights(value: Array[DenseMatrix]): H2ODeepLearningParams.this.type
- Definition Classes
- HasInitialWeights
- def setInputDropoutRatio(value: Double): H2ODeepLearningParams.this.type
- def setKeepCrossValidationFoldAssignment(value: Boolean): H2ODeepLearningParams.this.type
- def setKeepCrossValidationModels(value: Boolean): H2ODeepLearningParams.this.type
- def setKeepCrossValidationPredictions(value: Boolean): H2ODeepLearningParams.this.type
- def setL1(value: Double): H2ODeepLearningParams.this.type
- def setL2(value: Double): H2ODeepLearningParams.this.type
- def setLabelCol(value: String): H2ODeepLearningParams.this.type
- def setLoss(value: String): H2ODeepLearningParams.this.type
- def setMaxAfterBalanceSize(value: Float): H2ODeepLearningParams.this.type
- def setMaxCategoricalFeatures(value: Int): H2ODeepLearningParams.this.type
- def setMaxRuntimeSecs(value: Double): H2ODeepLearningParams.this.type
- def setMaxW2(value: Float): H2ODeepLearningParams.this.type
- def setMiniBatchSize(value: Int): H2ODeepLearningParams.this.type
- def setMissingValuesHandling(value: String): H2ODeepLearningParams.this.type
- def setModelId(value: String): H2ODeepLearningParams.this.type
- def setMomentumRamp(value: Double): H2ODeepLearningParams.this.type
- def setMomentumStable(value: Double): H2ODeepLearningParams.this.type
- def setMomentumStart(value: Double): H2ODeepLearningParams.this.type
- def setNesterovAcceleratedGradient(value: Boolean): H2ODeepLearningParams.this.type
- def setNfolds(value: Int): H2ODeepLearningParams.this.type
- def setOffsetCol(value: String): H2ODeepLearningParams.this.type
- def setOverwriteWithBestModel(value: Boolean): H2ODeepLearningParams.this.type
- def setQuantileAlpha(value: Double): H2ODeepLearningParams.this.type
- def setQuietMode(value: Boolean): H2ODeepLearningParams.this.type
- def setRate(value: Double): H2ODeepLearningParams.this.type
- def setRateAnnealing(value: Double): H2ODeepLearningParams.this.type
- def setRateDecay(value: Double): H2ODeepLearningParams.this.type
- def setRegressionStop(value: Double): H2ODeepLearningParams.this.type
- def setReplicateTrainingData(value: Boolean): H2ODeepLearningParams.this.type
- def setReproducible(value: Boolean): H2ODeepLearningParams.this.type
- def setRho(value: Double): H2ODeepLearningParams.this.type
- def setScoreDutyCycle(value: Double): H2ODeepLearningParams.this.type
- def setScoreEachIteration(value: Boolean): H2ODeepLearningParams.this.type
- def setScoreInterval(value: Double): H2ODeepLearningParams.this.type
- def setScoreTrainingSamples(value: Long): H2ODeepLearningParams.this.type
- def setScoreValidationSamples(value: Long): H2ODeepLearningParams.this.type
- def setScoreValidationSampling(value: String): H2ODeepLearningParams.this.type
- def setSeed(value: Long): H2ODeepLearningParams.this.type
- def setShuffleTrainingData(value: Boolean): H2ODeepLearningParams.this.type
- def setSingleNodeMode(value: Boolean): H2ODeepLearningParams.this.type
- def setSparse(value: Boolean): H2ODeepLearningParams.this.type
- def setSparsityBeta(value: Double): H2ODeepLearningParams.this.type
- def setStandardize(value: Boolean): H2ODeepLearningParams.this.type
- def setStoppingMetric(value: String): H2ODeepLearningParams.this.type
- def setStoppingRounds(value: Int): H2ODeepLearningParams.this.type
- def setStoppingTolerance(value: Double): H2ODeepLearningParams.this.type
- def setTargetRatioCommToComp(value: Double): H2ODeepLearningParams.this.type
- def setTrainSamplesPerIteration(value: Long): H2ODeepLearningParams.this.type
- def setTweediePower(value: Double): H2ODeepLearningParams.this.type
- def setUseAllFactorLevels(value: Boolean): H2ODeepLearningParams.this.type
- def setWeightCol(value: String): H2ODeepLearningParams.this.type
-
val
shuffleTrainingData: BooleanParam
- Attributes
- protected
-
val
singleNodeMode: BooleanParam
- Attributes
- protected
-
val
sparse: BooleanParam
- Attributes
- protected
-
val
sparsityBeta: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
standardize: BooleanParam
- Attributes
- protected
-
val
stoppingMetric: Param[String]
- Attributes
- protected
-
val
stoppingRounds: IntParam
- Attributes
- protected
-
val
stoppingTolerance: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
def
stringArrayParam(name: String, doc: String): StringArrayParam
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
def
stringParam(name: String, doc: String): Param[String]
- Attributes
- protected
- Definition Classes
- ParameterConstructorMethods
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
targetRatioCommToComp: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
val
trainSamplesPerIteration: LongParam
- Attributes
- protected
-
val
tweediePower: org.apache.spark.ml.param.DoubleParam
- Attributes
- protected
-
val
useAllFactorLevels: BooleanParam
- Attributes
- protected
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
val
weightCol: NullableStringParam
- Attributes
- protected