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| Modifier and Type | Method and Description |
|---|---|
PredictRequest.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
PredictRequest |
build() |
PredictRequest |
buildPartial() |
PredictRequest.Builder |
clear() |
PredictRequest.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
PredictRequest.Builder |
clearFilter()
Filter for restricting prediction results with a length limit of 5,000
characters.
|
PredictRequest.Builder |
clearLabels() |
PredictRequest.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
PredictRequest.Builder |
clearPageSize()
Maximum number of results to return.
|
PredictRequest.Builder |
clearPageToken()
Deprecated.
google.cloud.retail.v2.PredictRequest.page_token is deprecated. See
google/cloud/retail/v2/prediction_service.proto;l=94
|
PredictRequest.Builder |
clearParams() |
PredictRequest.Builder |
clearPlacement()
Required.
|
PredictRequest.Builder |
clearUserEvent()
Required.
|
PredictRequest.Builder |
clearValidateOnly()
Use validate only mode for this prediction query.
|
PredictRequest.Builder |
clone() |
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.
|
boolean |
containsParams(String key)
Additional domain specific parameters for the predictions.
|
PredictRequest |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
String |
getFilter()
Filter for restricting prediction results with a length limit of 5,000
characters.
|
com.google.protobuf.ByteString |
getFilterBytes()
Filter for restricting prediction results with a length limit of 5,000
characters.
|
Map<String,String> |
getLabels()
Deprecated.
|
int |
getLabelsCount()
The labels applied to a resource must meet the following requirements:
* Each resource can have multiple labels, up to a maximum of 64.
|
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.
|
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.
|
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.
|
Map<String,String> |
getMutableLabels()
Deprecated.
|
Map<String,com.google.protobuf.Value> |
getMutableParams()
Deprecated.
|
int |
getPageSize()
Maximum number of results to return.
|
String |
getPageToken()
Deprecated.
google.cloud.retail.v2.PredictRequest.page_token is deprecated. See
google/cloud/retail/v2/prediction_service.proto;l=94
|
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
|
Map<String,com.google.protobuf.Value> |
getParams()
Deprecated.
|
int |
getParamsCount()
Additional domain specific parameters for the predictions.
|
Map<String,com.google.protobuf.Value> |
getParamsMap()
Additional domain specific parameters for the predictions.
|
com.google.protobuf.Value |
getParamsOrDefault(String key,
com.google.protobuf.Value defaultValue)
Additional domain specific parameters for the predictions.
|
com.google.protobuf.Value |
getParamsOrThrow(String key)
Additional domain specific parameters for the predictions.
|
String |
getPlacement()
Required.
|
com.google.protobuf.ByteString |
getPlacementBytes()
Required.
|
UserEvent |
getUserEvent()
Required.
|
UserEvent.Builder |
getUserEventBuilder()
Required.
|
UserEventOrBuilder |
getUserEventOrBuilder()
Required.
|
boolean |
getValidateOnly()
Use validate only mode for this prediction query.
|
boolean |
hasUserEvent()
Required.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapField |
internalGetMapField(int number) |
protected com.google.protobuf.MapField |
internalGetMutableMapField(int number) |
boolean |
isInitialized() |
PredictRequest.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
PredictRequest.Builder |
mergeFrom(com.google.protobuf.Message other) |
PredictRequest.Builder |
mergeFrom(PredictRequest other) |
PredictRequest.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
PredictRequest.Builder |
mergeUserEvent(UserEvent value)
Required.
|
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.
|
PredictRequest.Builder |
putAllParams(Map<String,com.google.protobuf.Value> values)
Additional domain specific parameters for the predictions.
|
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.
|
PredictRequest.Builder |
putParams(String key,
com.google.protobuf.Value value)
Additional domain specific parameters for the predictions.
|
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.
|
PredictRequest.Builder |
removeParams(String key)
Additional domain specific parameters for the predictions.
|
PredictRequest.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
PredictRequest.Builder |
setFilter(String value)
Filter for restricting prediction results with a length limit of 5,000
characters.
|
PredictRequest.Builder |
setFilterBytes(com.google.protobuf.ByteString value)
Filter for restricting prediction results with a length limit of 5,000
characters.
|
PredictRequest.Builder |
setPageSize(int value)
Maximum number of results to return.
|
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
|
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
|
PredictRequest.Builder |
setPlacement(String value)
Required.
|
PredictRequest.Builder |
setPlacementBytes(com.google.protobuf.ByteString value)
Required.
|
PredictRequest.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
PredictRequest.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
PredictRequest.Builder |
setUserEvent(UserEvent.Builder builderForValue)
Required.
|
PredictRequest.Builder |
setUserEvent(UserEvent value)
Required.
|
PredictRequest.Builder |
setValidateOnly(boolean value)
Use validate only mode for this prediction query.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapFieldReflection, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapField internalGetMapField(int number)
internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>protected com.google.protobuf.MapField internalGetMutableMapField(int number)
internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic PredictRequest build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic PredictRequest buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic PredictRequest.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<PredictRequest.Builder>public PredictRequest.Builder mergeFrom(PredictRequest other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public PredictRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<PredictRequest.Builder>IOExceptionpublic 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];getPlacement in interface PredictRequestOrBuilderpublic 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];getPlacementBytes in interface PredictRequestOrBuilderpublic 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];value - The placement to set.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];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];value - The bytes for placement to set.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];
hasUserEvent in interface PredictRequestOrBuilderpublic 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];
getUserEvent in interface PredictRequestOrBuilderpublic 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];
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];
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];
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];
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];
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];
getUserEventOrBuilder in interface PredictRequestOrBuilderpublic 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;getPageSize in interface PredictRequestOrBuilderpublic 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;value - The pageSize to set.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;@Deprecated public String getPageToken()
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];getPageToken in interface PredictRequestOrBuilder@Deprecated public com.google.protobuf.ByteString getPageTokenBytes()
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];getPageTokenBytes in interface PredictRequestOrBuilder@Deprecated public PredictRequest.Builder setPageToken(String value)
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];value - The pageToken to set.@Deprecated public PredictRequest.Builder clearPageToken()
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];@Deprecated public PredictRequest.Builder setPageTokenBytes(com.google.protobuf.ByteString value)
This field is not used; leave it unset.
string page_token = 4 [deprecated = true];value - The bytes for pageToken to set.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;getFilter in interface PredictRequestOrBuilderpublic 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;getFilterBytes in interface PredictRequestOrBuilderpublic 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;value - The filter to set.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;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;value - The bytes for filter to set.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;getValidateOnly in interface PredictRequestOrBuilderpublic 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;value - The validateOnly to set.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;public int getParamsCount()
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;getParamsCount in interface PredictRequestOrBuilderpublic 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;containsParams in interface PredictRequestOrBuilder@Deprecated public Map<String,com.google.protobuf.Value> getParams()
getParamsMap() instead.getParams in interface PredictRequestOrBuilderpublic 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;getParamsMap in interface PredictRequestOrBuilderpublic 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;getParamsOrDefault in interface PredictRequestOrBuilderpublic 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;getParamsOrThrow in interface PredictRequestOrBuilderpublic PredictRequest.Builder clearParams()
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;@Deprecated public Map<String,com.google.protobuf.Value> getMutableParams()
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;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;public int getLabelsCount()
PredictRequestOrBuilderThe 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;getLabelsCount in interface PredictRequestOrBuilderpublic 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;containsLabels in interface PredictRequestOrBuilder@Deprecated public Map<String,String> getLabels()
getLabelsMap() instead.getLabels in interface PredictRequestOrBuilderpublic 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;getLabelsMap in interface PredictRequestOrBuilderpublic 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;getLabelsOrDefault in interface PredictRequestOrBuilderpublic 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;getLabelsOrThrow in interface PredictRequestOrBuilderpublic PredictRequest.Builder clearLabels()
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;@Deprecated public Map<String,String> getMutableLabels()
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;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;public final PredictRequest.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>public final PredictRequest.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<PredictRequest.Builder>Copyright © 2023 Google LLC. All rights reserved.