public static interface TensorRepresentation.DenseTensorOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getColumnName()
Identifies the column in the dataset that provides the values of this
Tensor.
|
com.google.protobuf.ByteString |
getColumnNameBytes()
Identifies the column in the dataset that provides the values of this
Tensor.
|
TensorRepresentation.DefaultValue |
getDefaultValue()
If this column is missing values in a row, the default_value will be
used to fill that row.
|
TensorRepresentation.DefaultValueOrBuilder |
getDefaultValueOrBuilder()
If this column is missing values in a row, the default_value will be
used to fill that row.
|
FixedShape |
getShape()
The shape of each row of the data (i.e.
|
FixedShapeOrBuilder |
getShapeOrBuilder()
The shape of each row of the data (i.e.
|
boolean |
hasColumnName()
Identifies the column in the dataset that provides the values of this
Tensor.
|
boolean |
hasDefaultValue()
If this column is missing values in a row, the default_value will be
used to fill that row.
|
boolean |
hasShape()
The shape of each row of the data (i.e.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofboolean hasColumnName()
Identifies the column in the dataset that provides the values of this Tensor.
optional string column_name = 1;String getColumnName()
Identifies the column in the dataset that provides the values of this Tensor.
optional string column_name = 1;com.google.protobuf.ByteString getColumnNameBytes()
Identifies the column in the dataset that provides the values of this Tensor.
optional string column_name = 1;boolean hasShape()
The shape of each row of the data (i.e. does not include the batch dimension)
optional .tensorflow.metadata.v0.FixedShape shape = 2;FixedShape getShape()
The shape of each row of the data (i.e. does not include the batch dimension)
optional .tensorflow.metadata.v0.FixedShape shape = 2;FixedShapeOrBuilder getShapeOrBuilder()
The shape of each row of the data (i.e. does not include the batch dimension)
optional .tensorflow.metadata.v0.FixedShape shape = 2;boolean hasDefaultValue()
If this column is missing values in a row, the default_value will be used to fill that row.
optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;TensorRepresentation.DefaultValue getDefaultValue()
If this column is missing values in a row, the default_value will be used to fill that row.
optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;TensorRepresentation.DefaultValueOrBuilder getDefaultValueOrBuilder()
If this column is missing values in a row, the default_value will be used to fill that row.
optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;Copyright © 2020 Gojek. All rights reserved.