Resource: ConversationModel
Represents a conversation model.
JSON representation |
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{ "name": string, "displayName": string, "createTime": string, "datasets": [ { object ( |
Fields | |
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name |
ConversationModel resource name. Format: |
display |
Required. The display name of the model. At most 64 bytes long. |
create |
Output only. Creation time of this model. Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted.Examples: |
datasets[] |
Required. Datasets used to create model. |
state |
Output only. State of the model. A model can only serve prediction requests after it gets deployed. |
language |
Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US". |
Union field model_metadata . Required. The model metadata that is specific to the problem type. Must match the metadata type of the dataset used to train the model. model_metadata can be only one of the following: |
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article |
Metadata for article suggestion models. |
smart |
Metadata for smart reply models. |
satisfies |
Output only. A read only boolean field reflecting Zone Separation status of the model. |
satisfies |
Output only. A read only boolean field reflecting Zone Isolation status of the model. |
Methods |
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Creates a model. |
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Deletes a model. |
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Deploys a model. |
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Gets conversation model. |
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Lists conversation models. |
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Undeploys a model. |