Package com.google.cloud.aiplatform.v1

Class IndexDatapoint.SparseEmbedding.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>
com.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding.Builder
All Implemented Interfaces:
IndexDatapoint.SparseEmbeddingOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
IndexDatapoint.SparseEmbedding
public static final class IndexDatapoint.SparseEmbedding.Builder extends com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder> implements IndexDatapoint.SparseEmbeddingOrBuilder
 Feature embedding vector for sparse index. An array of numbers whose values
 are located in the specified dimensions.
Protobuf type google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>

    • clear

      public IndexDatapoint.SparseEmbedding.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>

    • getDefaultInstanceForType

      public IndexDatapoint.SparseEmbedding getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public IndexDatapoint.SparseEmbedding build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public IndexDatapoint.SparseEmbedding buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public IndexDatapoint.SparseEmbedding.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>

    • mergeFrom

      public IndexDatapoint.SparseEmbedding.Builder mergeFrom(IndexDatapoint.SparseEmbedding other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>

    • mergeFrom

      public IndexDatapoint.SparseEmbedding.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<IndexDatapoint.SparseEmbedding.Builder>
      Throws:
      IOException

    • getValuesList

      public List<Float> getValuesList()
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getValuesList in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Returns:
      A list containing the values.

    • getValuesCount

      public int getValuesCount()
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getValuesCount in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Returns:
      The count of values.

    • getValues

      public float getValues(int index)
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getValues in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The values at the given index.

    • setValues

      public IndexDatapoint.SparseEmbedding.Builder setValues(int index, float value)
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      index - The index to set the value at.
      value - The values to set.
      Returns:
      This builder for chaining.

    • addValues

      public IndexDatapoint.SparseEmbedding.Builder addValues(float value)
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The values to add.
      Returns:
      This builder for chaining.

    • addAllValues

      public IndexDatapoint.SparseEmbedding.Builder addAllValues(Iterable<? extends Float> values)
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      values - The values to add.
      Returns:
      This builder for chaining.

    • clearValues

      public IndexDatapoint.SparseEmbedding.Builder clearValues()
       Required. The list of embedding values of the sparse vector.
      repeated float values = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.

    • getDimensionsList

      public List<Long> getDimensionsList()
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDimensionsList in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Returns:
      A list containing the dimensions.

    • getDimensionsCount

      public int getDimensionsCount()
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDimensionsCount in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Returns:
      The count of dimensions.

    • getDimensions

      public long getDimensions(int index)
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDimensions in interface IndexDatapoint.SparseEmbeddingOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The dimensions at the given index.

    • setDimensions

      public IndexDatapoint.SparseEmbedding.Builder setDimensions(int index, long value)
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      index - The index to set the value at.
      value - The dimensions to set.
      Returns:
      This builder for chaining.

    • addDimensions

      public IndexDatapoint.SparseEmbedding.Builder addDimensions(long value)
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The dimensions to add.
      Returns:
      This builder for chaining.

    • addAllDimensions

      public IndexDatapoint.SparseEmbedding.Builder addAllDimensions(Iterable<? extends Long> values)
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      values - The dimensions to add.
      Returns:
      This builder for chaining.

    • clearDimensions

      public IndexDatapoint.SparseEmbedding.Builder clearDimensions()
       Required. The list of indexes for the embedding values of the sparse
 vector.
      repeated int64 dimensions = 2 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.