Class SuggestTrialsRequest (3.41.0)

public final class SuggestTrialsRequest extends GeneratedMessageV3 implements SuggestTrialsRequestOrBuilder

Request message for VizierService.SuggestTrials.

Protobuf type google.cloud.aiplatform.v1.SuggestTrialsRequest

Static Fields

CLIENT_ID_FIELD_NUMBER

public static final int CLIENT_ID_FIELD_NUMBER
Field Value
TypeDescription
int

CONTEXTS_FIELD_NUMBER

public static final int CONTEXTS_FIELD_NUMBER
Field Value
TypeDescription
int

PARENT_FIELD_NUMBER

public static final int PARENT_FIELD_NUMBER
Field Value
TypeDescription
int

SUGGESTION_COUNT_FIELD_NUMBER

public static final int SUGGESTION_COUNT_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static SuggestTrialsRequest getDefaultInstance()
Returns
TypeDescription
SuggestTrialsRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static SuggestTrialsRequest.Builder newBuilder()
Returns
TypeDescription
SuggestTrialsRequest.Builder

newBuilder(SuggestTrialsRequest prototype)

public static SuggestTrialsRequest.Builder newBuilder(SuggestTrialsRequest prototype)
Parameter
NameDescription
prototypeSuggestTrialsRequest
Returns
TypeDescription
SuggestTrialsRequest.Builder

parseDelimitedFrom(InputStream input)

public static SuggestTrialsRequest parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static SuggestTrialsRequest parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static SuggestTrialsRequest parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static SuggestTrialsRequest parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static SuggestTrialsRequest parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static SuggestTrialsRequest parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static SuggestTrialsRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
SuggestTrialsRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<SuggestTrialsRequest> parser()
Returns
TypeDescription
Parser<SuggestTrialsRequest>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getClientId()

public String getClientId()

Required. The identifier of the client that is requesting the suggestion.

If multiple SuggestTrialsRequests have the same client_id, the service will return the identical suggested Trial if the Trial is pending, and provide a new Trial if the last suggested Trial was completed.

string client_id = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The clientId.

getClientIdBytes()

public ByteString getClientIdBytes()

Required. The identifier of the client that is requesting the suggestion.

If multiple SuggestTrialsRequests have the same client_id, the service will return the identical suggested Trial if the Trial is pending, and provide a new Trial if the last suggested Trial was completed.

string client_id = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for clientId.

getContexts(int index)

public TrialContext getContexts(int index)

Optional. This allows you to specify the "context" for a Trial; a context is a slice (a subspace) of the search space.

Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there's a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you're optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the "A" and "B" conditions as contexts, and Vizier will generalize between "A" and "B" conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if "A" and "B" were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that's the asynchronous option where you don't need a close association between contexts and suggestions.

NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don't supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It's an error if they don't. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

repeated .google.cloud.aiplatform.v1.TrialContext contexts = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
indexint
Returns
TypeDescription
TrialContext

getContextsCount()

public int getContextsCount()

Optional. This allows you to specify the "context" for a Trial; a context is a slice (a subspace) of the search space.

Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there's a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you're optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the "A" and "B" conditions as contexts, and Vizier will generalize between "A" and "B" conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if "A" and "B" were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that's the asynchronous option where you don't need a close association between contexts and suggestions.

NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don't supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It's an error if they don't. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

repeated .google.cloud.aiplatform.v1.TrialContext contexts = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
int

getContextsList()

public List<TrialContext> getContextsList()

Optional. This allows you to specify the "context" for a Trial; a context is a slice (a subspace) of the search space.

Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there's a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you're optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the "A" and "B" conditions as contexts, and Vizier will generalize between "A" and "B" conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if "A" and "B" were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that's the asynchronous option where you don't need a close association between contexts and suggestions.

NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don't supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It's an error if they don't. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

repeated .google.cloud.aiplatform.v1.TrialContext contexts = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
List<TrialContext>

getContextsOrBuilder(int index)

public TrialContextOrBuilder getContextsOrBuilder(int index)

Optional. This allows you to specify the "context" for a Trial; a context is a slice (a subspace) of the search space.

Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there's a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you're optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the "A" and "B" conditions as contexts, and Vizier will generalize between "A" and "B" conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if "A" and "B" were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that's the asynchronous option where you don't need a close association between contexts and suggestions.

NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don't supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It's an error if they don't. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

repeated .google.cloud.aiplatform.v1.TrialContext contexts = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
indexint
Returns
TypeDescription
TrialContextOrBuilder

getContextsOrBuilderList()

public List<? extends TrialContextOrBuilder> getContextsOrBuilderList()

Optional. This allows you to specify the "context" for a Trial; a context is a slice (a subspace) of the search space.

Typical uses for contexts: 1) You are using Vizier to tune a server for best performance, but there's a strong weekly cycle. The context specifies the day-of-week. This allows Tuesday to generalize from Wednesday without assuming that everything is identical. 2) Imagine you're optimizing some medical treatment for people. As they walk in the door, you know certain facts about them (e.g. sex, weight, height, blood-pressure). Put that information in the context, and Vizier will adapt its suggestions to the patient. 3) You want to do a fair A/B test efficiently. Specify the "A" and "B" conditions as contexts, and Vizier will generalize between "A" and "B" conditions. If they are similar, this will allow Vizier to converge to the optimum faster than if "A" and "B" were separate Studies. NOTE: You can also enter contexts as REQUESTED Trials, e.g. via the CreateTrial() RPC; that's the asynchronous option where you don't need a close association between contexts and suggestions.

NOTE: All the Parameters you set in a context MUST be defined in the Study. NOTE: You must supply 0 or $suggestion_count contexts. If you don't supply any contexts, Vizier will make suggestions from the full search space specified in the StudySpec; if you supply a full set of context, each suggestion will match the corresponding context. NOTE: A Context with no features set matches anything, and allows suggestions from the full search space. NOTE: Contexts MUST lie within the search space specified in the StudySpec. It's an error if they don't. NOTE: Contexts preferentially match ACTIVE then REQUESTED trials before new suggestions are generated. NOTE: Generation of suggestions involves a match between a Context and (optionally) a REQUESTED trial; if that match is not fully specified, a suggestion will be geneated in the merged subspace.

repeated .google.cloud.aiplatform.v1.TrialContext contexts = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
List<? extends com.google.cloud.aiplatform.v1.TrialContextOrBuilder>

getDefaultInstanceForType()

public SuggestTrialsRequest getDefaultInstanceForType()
Returns
TypeDescription
SuggestTrialsRequest

getParent()

public String getParent()

Required. The project and location that the Study belongs to. Format: projects/{project}/locations/{location}/studies/{study}

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
String

The parent.

getParentBytes()

public ByteString getParentBytes()

Required. The project and location that the Study belongs to. Format: projects/{project}/locations/{location}/studies/{study}

string parent = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
TypeDescription
ByteString

The bytes for parent.

getParserForType()

public Parser<SuggestTrialsRequest> getParserForType()
Returns
TypeDescription
Parser<SuggestTrialsRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getSuggestionCount()

public int getSuggestionCount()

Required. The number of suggestions requested. It must be positive.

int32 suggestion_count = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
int

The suggestionCount.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public SuggestTrialsRequest.Builder newBuilderForType()
Returns
TypeDescription
SuggestTrialsRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected SuggestTrialsRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
SuggestTrialsRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public SuggestTrialsRequest.Builder toBuilder()
Returns
TypeDescription
SuggestTrialsRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException