Metadata for creating an FAQ model.
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{
"createTime": string,
"endTime": string,
"request": {
object ( |
Fields | |
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create |
Output only. The time the operation was created. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
end |
Output only. The time the operation finished running. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
request |
The original request for creation. |
CreateFaqModelRequest
The request to create an FAQ model.
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{
"parent": string,
"faqModel": {
object ( |
Fields | |
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parent |
Required. The parent resource of the FAQ model. |
faq |
Required. The FAQ model to create. |
FaqModel
The FAQ model resource.
JSON representation |
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{ "name": string, "displayName": string, "createTime": string, "updateTime": string, "faqEntryCount": integer, "state": enum ( |
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name |
Immutable. The resource name of the FAQ model. Format: projects/{project}/locations/{location}/faqModels/{faqModel} |
display |
The representative name for the FAQ model. |
create |
Output only. The time at which this FAQ model was created. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
update |
Output only. The most recent time at which the FAQ model was updated. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
faq |
Output only. Number of FAQ entries in this FAQ model. |
state |
Output only. State of the FAQ model. |
input |
Configs for the input data used to create the FAQ model. |
model |
Output only. Immutable. The model statistics on its training data. |
infobot |
Immutable. The resource name of the infobot agent to be used to create generative answers. Format: projects/{project}/locations/{location}/agents/{agent} |
InputDataConfig
Configs for the input data used to create the FAQ model.
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{ "trainingConversationsCount": string, "filter": string } |
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training |
Output only. Number of conversations used in training. Output only. |
filter |
A filter to reduce the conversations used for training the model to a specific subset. |
ModelStats
Train/inference statistics for the model.
JSON representation |
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{ "totalConversationsCount": integer, "skippedConversationsCount": integer } |
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total |
Total number of conversations analyzed at this point in time. |
skipped |
Number of analyzed conversations which were skipped e.g. customer disconnected from the call. |