final class FalseNegativeRateAtThreshold extends GeneratedMessageV3 with FalseNegativeRateAtThresholdOrBuilder
Protobuf type tensorflow.metadata.v0.FalseNegativeRateAtThreshold
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- FalseNegativeRateAtThreshold
- FalseNegativeRateAtThresholdOrBuilder
- GeneratedMessageV3
- Serializable
- AbstractMessage
- Message
- MessageOrBuilder
- AbstractMessageLite
- MessageLite
- MessageLiteOrBuilder
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- Protected
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(obj: AnyRef): Boolean
- Definition Classes
- FalseNegativeRateAtThreshold → AbstractMessage → Message → AnyRef → Any
- Annotations
- @Override()
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable])
- def findInitializationErrors(): List[String]
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getDefaultInstanceForType(): FalseNegativeRateAtThreshold
- Definition Classes
- FalseNegativeRateAtThreshold → MessageOrBuilder → MessageLiteOrBuilder
- Annotations
- @Override()
- def getDescriptorForType(): Descriptor
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getInitializationErrorString(): String
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[FalseNegativeRateAtThreshold]
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3 → Message → MessageLite
- Annotations
- @Override()
- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3 → AbstractMessage → MessageLite
- Annotations
- @Override()
- def getThreshold(): DoubleValue
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- returns
The threshold.
- Definition Classes
- FalseNegativeRateAtThreshold → FalseNegativeRateAtThresholdOrBuilder
- Annotations
- @Override()
- def getThresholdOrBuilder(): DoubleValueOrBuilder
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- Definition Classes
- FalseNegativeRateAtThreshold → FalseNegativeRateAtThresholdOrBuilder
- Annotations
- @Override()
- def getUnknownFields(): UnknownFieldSet
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hasThreshold(): Boolean
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- returns
Whether the threshold field is set.
- Definition Classes
- FalseNegativeRateAtThreshold → FalseNegativeRateAtThresholdOrBuilder
- Annotations
- @Override()
- def hashCode(): Int
- Definition Classes
- FalseNegativeRateAtThreshold → AbstractMessage → Message → AnyRef → Any
- Annotations
- @Override()
- def internalGetFieldAccessorTable(): FieldAccessorTable
- Attributes
- protected[v0]
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3
- Annotations
- @Override()
- def internalGetMapFieldReflection(fieldNumber: Int): MapFieldReflectionAccessor
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- final def isInitialized(): Boolean
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
- Annotations
- @Override()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def makeExtensionsImmutable(): Unit
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def newBuilderForType(parent: BuilderParent): Builder
- Attributes
- protected[v0]
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3
- Annotations
- @Override()
- def newBuilderForType(): Builder
- Definition Classes
- FalseNegativeRateAtThreshold → Message → MessageLite
- Annotations
- @Override()
- def newBuilderForType(parent: BuilderParent): Builder
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3 → AbstractMessage
- def newInstance(unused: UnusedPrivateParameter): AnyRef
- Attributes
- protected[v0]
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3
- Annotations
- @Override() @SuppressWarnings()
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- def parseUnknownField(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- Annotations
- @throws(classOf[java.io.IOException])
- def parseUnknownFieldProto3(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- Annotations
- @throws(classOf[java.io.IOException])
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toBuilder(): Builder
- Definition Classes
- FalseNegativeRateAtThreshold → Message → MessageLite
- Annotations
- @Override()
- def toByteArray(): Array[Byte]
- Definition Classes
- AbstractMessageLite → MessageLite
- def toByteString(): ByteString
- Definition Classes
- AbstractMessageLite → MessageLite
- final def toString(): String
- Definition Classes
- AbstractMessage → Message → AnyRef → Any
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- def writeDelimitedTo(output: OutputStream): Unit
- Definition Classes
- AbstractMessageLite → MessageLite
- Annotations
- @throws(classOf[java.io.IOException])
- def writeReplace(): AnyRef
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- Annotations
- @throws(classOf[java.io.ObjectStreamException])
- def writeTo(output: CodedOutputStream): Unit
- Definition Classes
- FalseNegativeRateAtThreshold → GeneratedMessageV3 → AbstractMessage → MessageLite
- Annotations
- @Override()
- def writeTo(output: OutputStream): Unit
- Definition Classes
- AbstractMessageLite → MessageLite
- Annotations
- @throws(classOf[java.io.IOException])
Deprecated Value Members
- def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- Annotations
- @Deprecated
- Deprecated
- def mergeFromAndMakeImmutableInternal(input: CodedInputStream, extensionRegistry: ExtensionRegistryLite): Unit
- Attributes
- protected[protobuf]
- Definition Classes
- GeneratedMessageV3
- Annotations
- @throws(classOf[com.google.protobuf.InvalidProtocolBufferException]) @Deprecated
- Deprecated