trait MaximumMeanDiscrepancyOrBuilder extends MessageOrBuilder
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- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- abstract def getDefaultInstanceForType(): Message
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- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
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- MessageOrBuilder
- abstract def getField(field: FieldDescriptor): AnyRef
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- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- abstract def getKernel(): String
Kernel to apply to the predictions. Currently supported values are 'gaussian' and 'laplace'. Defaults to 'gaussian'.
Kernel to apply to the predictions. Currently supported values are 'gaussian' and 'laplace'. Defaults to 'gaussian'.
string kernel = 1;- returns
The kernel.
- abstract def getKernelBytes(): ByteString
Kernel to apply to the predictions. Currently supported values are 'gaussian' and 'laplace'. Defaults to 'gaussian'.
Kernel to apply to the predictions. Currently supported values are 'gaussian' and 'laplace'. Defaults to 'gaussian'.
string kernel = 1;- returns
The bytes for kernel.
- abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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- MessageOrBuilder
- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
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- MessageOrBuilder
- abstract def isInitialized(): Boolean
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- MessageLiteOrBuilder
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