Package com.google.cloud.retail.v2

Class PredictRequest.Builder

  • All Implemented Interfaces:
    PredictRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    PredictRequest
    public static final class PredictRequest.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>
implements PredictRequestOrBuilder
     Request message for Predict method.
    Protobuf type google.cloud.retail.v2.PredictRequest

    • Method Detail

      • getDescriptor

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

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • internalGetMutableMapField

        protected com.google.protobuf.MapField internalGetMutableMapField​(int number)
        Overrides:
        internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • clear

        public PredictRequest.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.GeneratedMessageV3.Builder<PredictRequest.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.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public PredictRequest.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • setField

        public PredictRequest.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                       Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • clearField

        public PredictRequest.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • clearOneof

        public PredictRequest.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • setRepeatedField

        public PredictRequest.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               int index,
                                               Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • addRepeatedField

        public PredictRequest.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • mergeFrom

        public PredictRequest.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<PredictRequest.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • mergeFrom

        public PredictRequest.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<PredictRequest.Builder>
        Throws:
        IOException

      • getPlacement

        public String getPlacement()
         Required. Full resource name of the format:
 `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
 or
 `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
 We recommend using the `servingConfigs` resource. `placements` is a legacy
 resource.
 The ID of the Recommendations AI serving config or placement.
 Before you can request predictions from your model, you must create at
 least one serving config or placement for it. For more information, see
 [Manage serving configs]
 (https://cloud.google.com/retail/docs/manage-configs).

 The full list of available serving configs can be seen at
 https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
        string placement = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getPlacement in interface PredictRequestOrBuilder
        Returns:
        The placement.

      • getPlacementBytes

        public com.google.protobuf.ByteString getPlacementBytes()
         Required. Full resource name of the format:
 `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
 or
 `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
 We recommend using the `servingConfigs` resource. `placements` is a legacy
 resource.
 The ID of the Recommendations AI serving config or placement.
 Before you can request predictions from your model, you must create at
 least one serving config or placement for it. For more information, see
 [Manage serving configs]
 (https://cloud.google.com/retail/docs/manage-configs).

 The full list of available serving configs can be seen at
 https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
        string placement = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getPlacementBytes in interface PredictRequestOrBuilder
        Returns:
        The bytes for placement.

      • setPlacement

        public PredictRequest.Builder setPlacement​(String value)
         Required. Full resource name of the format:
 `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
 or
 `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
 We recommend using the `servingConfigs` resource. `placements` is a legacy
 resource.
 The ID of the Recommendations AI serving config or placement.
 Before you can request predictions from your model, you must create at
 least one serving config or placement for it. For more information, see
 [Manage serving configs]
 (https://cloud.google.com/retail/docs/manage-configs).

 The full list of available serving configs can be seen at
 https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
        string placement = 1 [(.google.api.field_behavior) = REQUIRED];
        Parameters:
        value - The placement to set.
        Returns:
        This builder for chaining.

      • clearPlacement

        public PredictRequest.Builder clearPlacement()
         Required. Full resource name of the format:
 `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
 or
 `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
 We recommend using the `servingConfigs` resource. `placements` is a legacy
 resource.
 The ID of the Recommendations AI serving config or placement.
 Before you can request predictions from your model, you must create at
 least one serving config or placement for it. For more information, see
 [Manage serving configs]
 (https://cloud.google.com/retail/docs/manage-configs).

 The full list of available serving configs can be seen at
 https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
        string placement = 1 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        This builder for chaining.

      • setPlacementBytes

        public PredictRequest.Builder setPlacementBytes​(com.google.protobuf.ByteString value)
         Required. Full resource name of the format:
 `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
 or
 `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
 We recommend using the `servingConfigs` resource. `placements` is a legacy
 resource.
 The ID of the Recommendations AI serving config or placement.
 Before you can request predictions from your model, you must create at
 least one serving config or placement for it. For more information, see
 [Manage serving configs]
 (https://cloud.google.com/retail/docs/manage-configs).

 The full list of available serving configs can be seen at
 https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
        string placement = 1 [(.google.api.field_behavior) = REQUIRED];
        Parameters:
        value - The bytes for placement to set.
        Returns:
        This builder for chaining.

      • hasUserEvent

        public boolean hasUserEvent()
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        hasUserEvent in interface PredictRequestOrBuilder
        Returns:
        Whether the userEvent field is set.

      • getUserEvent

        public UserEvent getUserEvent()
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getUserEvent in interface PredictRequestOrBuilder
        Returns:
        The userEvent.

      • setUserEvent

        public PredictRequest.Builder setUserEvent​(UserEvent value)
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

      • setUserEvent

        public PredictRequest.Builder setUserEvent​(UserEvent.Builder builderForValue)
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

      • mergeUserEvent

        public PredictRequest.Builder mergeUserEvent​(UserEvent value)
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

      • clearUserEvent

        public PredictRequest.Builder clearUserEvent()
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

      • getUserEventBuilder

        public UserEvent.Builder getUserEventBuilder()
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];

      • getUserEventOrBuilder

        public UserEventOrBuilder getUserEventOrBuilder()
         Required. Context about the user, what they are looking at and what action
 they took to trigger the predict request. Note that this user event detail
 won't be ingested to userEvent logs. Thus, a separate userEvent write
 request is required for event logging.

 Don't set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
 fixed ID for different users. If you are trying to receive non-personalized
 recommendations (not recommended; this can negatively impact model
 performance), instead set
 [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
 random unique ID and leave
 [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
        .google.cloud.retail.v2.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getUserEventOrBuilder in interface PredictRequestOrBuilder

      • getPageSize

        public int getPageSize()
         Maximum number of results to return. Set this property to the number of
 prediction results needed. If zero, the service will choose a reasonable
 default. The maximum allowed value is 100. Values above 100 will be coerced
 to 100.
        int32 page_size = 3;
        Specified by:
        getPageSize in interface PredictRequestOrBuilder
        Returns:
        The pageSize.

      • setPageSize

        public PredictRequest.Builder setPageSize​(int value)
         Maximum number of results to return. Set this property to the number of
 prediction results needed. If zero, the service will choose a reasonable
 default. The maximum allowed value is 100. Values above 100 will be coerced
 to 100.
        int32 page_size = 3;
        Parameters:
        value - The pageSize to set.
        Returns:
        This builder for chaining.

      • clearPageSize

        public PredictRequest.Builder clearPageSize()
         Maximum number of results to return. Set this property to the number of
 prediction results needed. If zero, the service will choose a reasonable
 default. The maximum allowed value is 100. Values above 100 will be coerced
 to 100.
        int32 page_size = 3;
        Returns:
        This builder for chaining.

      • getPageToken

        @Deprecated
public String getPageToken()
        Deprecated.
        google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=94
         This field is not used; leave it unset.
        string page_token = 4 [deprecated = true];
        Specified by:
        getPageToken in interface PredictRequestOrBuilder
        Returns:
        The pageToken.

      • getPageTokenBytes

        @Deprecated
public com.google.protobuf.ByteString getPageTokenBytes()
        Deprecated.
        google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=94
         This field is not used; leave it unset.
        string page_token = 4 [deprecated = true];
        Specified by:
        getPageTokenBytes in interface PredictRequestOrBuilder
        Returns:
        The bytes for pageToken.

      • setPageToken

        @Deprecated
public PredictRequest.Builder setPageToken​(String value)
        Deprecated.
        google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=94
         This field is not used; leave it unset.
        string page_token = 4 [deprecated = true];
        Parameters:
        value - The pageToken to set.
        Returns:
        This builder for chaining.

      • clearPageToken

        @Deprecated
public PredictRequest.Builder clearPageToken()
        Deprecated.
        google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=94
         This field is not used; leave it unset.
        string page_token = 4 [deprecated = true];
        Returns:
        This builder for chaining.

      • setPageTokenBytes

        @Deprecated
public PredictRequest.Builder setPageTokenBytes​(com.google.protobuf.ByteString value)
        Deprecated.
        google.cloud.retail.v2.PredictRequest.page_token is deprecated. See google/cloud/retail/v2/prediction_service.proto;l=94
         This field is not used; leave it unset.
        string page_token = 4 [deprecated = true];
        Parameters:
        value - The bytes for pageToken to set.
        Returns:
        This builder for chaining.

      • getFilter

        public String getFilter()
         Filter for restricting prediction results with a length limit of 5,000
 characters. Accepts values for tags and the `filterOutOfStockItems` flag.

  * Tag expressions. Restricts predictions to products that match all of the
    specified tags. Boolean operators `OR` and `NOT` are supported if the
    expression is enclosed in parentheses, and must be separated from the
    tag values by a space. `-"tagA"` is also supported and is equivalent to
    `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
    with a size limit of 1,000 characters.

    Note: "Recently viewed" models don't support tag filtering at the
    moment.

  * filterOutOfStockItems. Restricts predictions to products that do not
  have a
    stockState value of OUT_OF_STOCK.

 Examples:

  * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  * filterOutOfStockItems  tag=(-"promotional")
  * filterOutOfStockItems

 If your filter blocks all prediction results, the API will return *no*
 results. If instead you want empty result sets to return generic
 (unfiltered) popular products, set `strictFiltering` to False in
 `PredictRequest.params`. Note that the API will never return items with
 storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

 If `filterSyntaxV2` is set to true under the `params` field, then
 attribute-based expressions are expected instead of the above described
 tag-based syntax. Examples:

  * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
  * (availability: ANY("IN_STOCK")) AND
    (colors: ANY("Red") OR categories: ANY("Phones"))

 For more information, see
 [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
        string filter = 5;
        Specified by:
        getFilter in interface PredictRequestOrBuilder
        Returns:
        The filter.

      • getFilterBytes

        public com.google.protobuf.ByteString getFilterBytes()
         Filter for restricting prediction results with a length limit of 5,000
 characters. Accepts values for tags and the `filterOutOfStockItems` flag.

  * Tag expressions. Restricts predictions to products that match all of the
    specified tags. Boolean operators `OR` and `NOT` are supported if the
    expression is enclosed in parentheses, and must be separated from the
    tag values by a space. `-"tagA"` is also supported and is equivalent to
    `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
    with a size limit of 1,000 characters.

    Note: "Recently viewed" models don't support tag filtering at the
    moment.

  * filterOutOfStockItems. Restricts predictions to products that do not
  have a
    stockState value of OUT_OF_STOCK.

 Examples:

  * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  * filterOutOfStockItems  tag=(-"promotional")
  * filterOutOfStockItems

 If your filter blocks all prediction results, the API will return *no*
 results. If instead you want empty result sets to return generic
 (unfiltered) popular products, set `strictFiltering` to False in
 `PredictRequest.params`. Note that the API will never return items with
 storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

 If `filterSyntaxV2` is set to true under the `params` field, then
 attribute-based expressions are expected instead of the above described
 tag-based syntax. Examples:

  * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
  * (availability: ANY("IN_STOCK")) AND
    (colors: ANY("Red") OR categories: ANY("Phones"))

 For more information, see
 [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
        string filter = 5;
        Specified by:
        getFilterBytes in interface PredictRequestOrBuilder
        Returns:
        The bytes for filter.

      • setFilter

        public PredictRequest.Builder setFilter​(String value)
         Filter for restricting prediction results with a length limit of 5,000
 characters. Accepts values for tags and the `filterOutOfStockItems` flag.

  * Tag expressions. Restricts predictions to products that match all of the
    specified tags. Boolean operators `OR` and `NOT` are supported if the
    expression is enclosed in parentheses, and must be separated from the
    tag values by a space. `-"tagA"` is also supported and is equivalent to
    `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
    with a size limit of 1,000 characters.

    Note: "Recently viewed" models don't support tag filtering at the
    moment.

  * filterOutOfStockItems. Restricts predictions to products that do not
  have a
    stockState value of OUT_OF_STOCK.

 Examples:

  * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  * filterOutOfStockItems  tag=(-"promotional")
  * filterOutOfStockItems

 If your filter blocks all prediction results, the API will return *no*
 results. If instead you want empty result sets to return generic
 (unfiltered) popular products, set `strictFiltering` to False in
 `PredictRequest.params`. Note that the API will never return items with
 storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

 If `filterSyntaxV2` is set to true under the `params` field, then
 attribute-based expressions are expected instead of the above described
 tag-based syntax. Examples:

  * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
  * (availability: ANY("IN_STOCK")) AND
    (colors: ANY("Red") OR categories: ANY("Phones"))

 For more information, see
 [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
        string filter = 5;
        Parameters:
        value - The filter to set.
        Returns:
        This builder for chaining.

      • clearFilter

        public PredictRequest.Builder clearFilter()
         Filter for restricting prediction results with a length limit of 5,000
 characters. Accepts values for tags and the `filterOutOfStockItems` flag.

  * Tag expressions. Restricts predictions to products that match all of the
    specified tags. Boolean operators `OR` and `NOT` are supported if the
    expression is enclosed in parentheses, and must be separated from the
    tag values by a space. `-"tagA"` is also supported and is equivalent to
    `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
    with a size limit of 1,000 characters.

    Note: "Recently viewed" models don't support tag filtering at the
    moment.

  * filterOutOfStockItems. Restricts predictions to products that do not
  have a
    stockState value of OUT_OF_STOCK.

 Examples:

  * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  * filterOutOfStockItems  tag=(-"promotional")
  * filterOutOfStockItems

 If your filter blocks all prediction results, the API will return *no*
 results. If instead you want empty result sets to return generic
 (unfiltered) popular products, set `strictFiltering` to False in
 `PredictRequest.params`. Note that the API will never return items with
 storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

 If `filterSyntaxV2` is set to true under the `params` field, then
 attribute-based expressions are expected instead of the above described
 tag-based syntax. Examples:

  * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
  * (availability: ANY("IN_STOCK")) AND
    (colors: ANY("Red") OR categories: ANY("Phones"))

 For more information, see
 [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
        string filter = 5;
        Returns:
        This builder for chaining.

      • setFilterBytes

        public PredictRequest.Builder setFilterBytes​(com.google.protobuf.ByteString value)
         Filter for restricting prediction results with a length limit of 5,000
 characters. Accepts values for tags and the `filterOutOfStockItems` flag.

  * Tag expressions. Restricts predictions to products that match all of the
    specified tags. Boolean operators `OR` and `NOT` are supported if the
    expression is enclosed in parentheses, and must be separated from the
    tag values by a space. `-"tagA"` is also supported and is equivalent to
    `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
    with a size limit of 1,000 characters.

    Note: "Recently viewed" models don't support tag filtering at the
    moment.

  * filterOutOfStockItems. Restricts predictions to products that do not
  have a
    stockState value of OUT_OF_STOCK.

 Examples:

  * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
  * filterOutOfStockItems  tag=(-"promotional")
  * filterOutOfStockItems

 If your filter blocks all prediction results, the API will return *no*
 results. If instead you want empty result sets to return generic
 (unfiltered) popular products, set `strictFiltering` to False in
 `PredictRequest.params`. Note that the API will never return items with
 storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.

 If `filterSyntaxV2` is set to true under the `params` field, then
 attribute-based expressions are expected instead of the above described
 tag-based syntax. Examples:

  * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
  * (availability: ANY("IN_STOCK")) AND
    (colors: ANY("Red") OR categories: ANY("Phones"))

 For more information, see
 [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
        string filter = 5;
        Parameters:
        value - The bytes for filter to set.
        Returns:
        This builder for chaining.

      • getValidateOnly

        public boolean getValidateOnly()
         Use validate only mode for this prediction query. If set to true, a
 dummy model will be used that returns arbitrary products.
 Note that the validate only mode should only be used for testing the API,
 or if the model is not ready.
        bool validate_only = 6;
        Specified by:
        getValidateOnly in interface PredictRequestOrBuilder
        Returns:
        The validateOnly.

      • setValidateOnly

        public PredictRequest.Builder setValidateOnly​(boolean value)
         Use validate only mode for this prediction query. If set to true, a
 dummy model will be used that returns arbitrary products.
 Note that the validate only mode should only be used for testing the API,
 or if the model is not ready.
        bool validate_only = 6;
        Parameters:
        value - The validateOnly to set.
        Returns:
        This builder for chaining.

      • clearValidateOnly

        public PredictRequest.Builder clearValidateOnly()
         Use validate only mode for this prediction query. If set to true, a
 dummy model will be used that returns arbitrary products.
 Note that the validate only mode should only be used for testing the API,
 or if the model is not ready.
        bool validate_only = 6;
        Returns:
        This builder for chaining.

      • getParamsCount

        public int getParamsCount()
        Description copied from interface: PredictRequestOrBuilder
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;
        Specified by:
        getParamsCount in interface PredictRequestOrBuilder

      • containsParams

        public boolean containsParams​(String key)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;
        Specified by:
        containsParams in interface PredictRequestOrBuilder

      • getParamsMap

        public Map<String,​com.google.protobuf.Value> getParamsMap()
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;
        Specified by:
        getParamsMap in interface PredictRequestOrBuilder

      • getParamsOrDefault

        public com.google.protobuf.Value getParamsOrDefault​(String key,
                                                    com.google.protobuf.Value defaultValue)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;
        Specified by:
        getParamsOrDefault in interface PredictRequestOrBuilder

      • getParamsOrThrow

        public com.google.protobuf.Value getParamsOrThrow​(String key)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;
        Specified by:
        getParamsOrThrow in interface PredictRequestOrBuilder

      • removeParams

        public PredictRequest.Builder removeParams​(String key)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;

      • getMutableParams

        @Deprecated
public Map<String,​com.google.protobuf.Value> getMutableParams()
        Deprecated.
        Use alternate mutation accessors instead.

      • putParams

        public PredictRequest.Builder putParams​(String key,
                                        com.google.protobuf.Value value)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;

      • putAllParams

        public PredictRequest.Builder putAllParams​(Map<String,​com.google.protobuf.Value> values)
         Additional domain specific parameters for the predictions.

 Allowed values:

 * `returnProduct`: Boolean. If set to true, the associated product
    object will be returned in the `results.metadata` field in the
    prediction response.
 * `returnScore`: Boolean. If set to true, the prediction 'score'
    corresponding to each returned product will be set in the
    `results.metadata` field in the prediction response. The given
    'score' indicates the probability of a product being clicked/purchased
    given the user's context and history.
 * `strictFiltering`: Boolean. True by default. If set to false, the service
    will return generic (unfiltered) popular products instead of empty if
    your filter blocks all prediction results.
 * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-price-reranking', 'low-price-reranking',
    'medium-price-reranking', 'high-price-reranking'}. This gives
    request-level control and adjusts prediction results based on product
    price.
 * `diversityLevel`: String. Default empty. If set to be non-empty, then
    it needs to be one of {'no-diversity', 'low-diversity',
    'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
    request-level control and adjusts prediction results based on product
    category.
 * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
   field is interpreteted according to the new, attribute-based syntax.
        map<string, .google.protobuf.Value> params = 7;

      • getLabelsCount

        public int getLabelsCount()
        Description copied from interface: PredictRequestOrBuilder
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;
        Specified by:
        getLabelsCount in interface PredictRequestOrBuilder

      • containsLabels

        public boolean containsLabels​(String key)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;
        Specified by:
        containsLabels in interface PredictRequestOrBuilder

      • getLabelsMap

        public Map<String,​String> getLabelsMap()
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;
        Specified by:
        getLabelsMap in interface PredictRequestOrBuilder

      • getLabelsOrDefault

        public String getLabelsOrDefault​(String key,
                                 String defaultValue)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;
        Specified by:
        getLabelsOrDefault in interface PredictRequestOrBuilder

      • getLabelsOrThrow

        public String getLabelsOrThrow​(String key)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;
        Specified by:
        getLabelsOrThrow in interface PredictRequestOrBuilder

      • removeLabels

        public PredictRequest.Builder removeLabels​(String key)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;

      • getMutableLabels

        @Deprecated
public Map<String,​String> getMutableLabels()
        Deprecated.
        Use alternate mutation accessors instead.

      • putLabels

        public PredictRequest.Builder putLabels​(String key,
                                        String value)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;

      • putAllLabels

        public PredictRequest.Builder putAllLabels​(Map<String,​String> values)
         The labels applied to a resource must meet the following requirements:

 * Each resource can have multiple labels, up to a maximum of 64.
 * Each label must be a key-value pair.
 * Keys have a minimum length of 1 character and a maximum length of 63
   characters and cannot be empty. Values can be empty and have a maximum
   length of 63 characters.
 * Keys and values can contain only lowercase letters, numeric characters,
   underscores, and dashes. All characters must use UTF-8 encoding, and
   international characters are allowed.
 * The key portion of a label must be unique. However, you can use the same
   key with multiple resources.
 * Keys must start with a lowercase letter or international character.

 See [Google Cloud
 Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
 for more details.
        map<string, string> labels = 8;

      • setUnknownFields

        public final PredictRequest.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>

      • mergeUnknownFields

        public final PredictRequest.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>