Google AutoML Connector: Difference between revisions
| (6 intermediate revisions by 2 users not shown) | |||
| Line 4: | Line 4: | ||
This is a connector for [https://cloud.google.com/translate/automl/docs/ Google AutoML Translation], a service that allows users to train custom models and use them for translation. If you don't require a custom model, consider using the [[Google MT v2 Connector]] instead. | This is a connector for [https://cloud.google.com/translate/automl/docs/ Google AutoML Translation], a service that allows users to train custom models and use them for translation. If you don't require a custom model, consider using the [[Google MT v2 Connector]] instead. | ||
{{WarningBox|The end-user is solely responsible for the costs of using this service. The developers of the Okapi Framework do their best to provide bug-free components and they are not liable, in any way, for any cost incurred by the end-user even when caused by defective code.}} | {{WarningBox|The end-user is solely responsible for the costs of using this service. The developers of the Okapi Framework do their best to provide bug-free components and they are not liable, in any way, for any cost incurred by the end-user even when caused by defective code.}} | ||
| Line 11: | Line 9: | ||
==Using the Connector== | ==Using the Connector== | ||
In order to use the connector, you'll need to [https://cloud.google.com/iam/docs/creating-managing-service-accounts#creating_a_service_account create a Google service account] and [https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating_service_account_keys download a private key JSON file] for the account. | |||
You must train a model for each language pair you intend to use with the connector. Google has a [https://cloud.google.com/translate/automl/docs/quickstart tutorial] on how to train a model through the AutoML Translation UI. You can also use the AutoML Translation API to [https://cloud.google.com/translate/automl/docs/tutorial train models programatically]. | |||
==Parameters== | ==Parameters== | ||
<cite>Credential file path</cite> (internal name: <tt>credentialFilePath</tt>) — Absolute path on your filesystem to a JSON file containing private key information for a Google service account. This is the same JSON file described in the previous section. | |||
<cite>Model JSON map</cite> (internal name: <tt>modelMap</tt>) — A JSON string that maps a language pair to the resource name of the model that will process translations for that language pair. Model resource names are typically of the form <code>projects/{projectId}/locations/{computeRegion}/models/{modelId}</code>. | |||
Example: <code>{"en-US/ja-JP": "projects/my-project/locations/us-central1/models/ABC123", "en-US/de-DE": "projects/my-project/locations/us-central1/models/DEF456"}</code> | |||
<cite>Credential string</cite> (internal name: <tt>credentialString</tt>) — JSON string containing private key information for a Google service account. This parameter is not exposed through the UI but can be set programmatically. It is used only if the <tt>credentialFilePath</tt> is null or empty. | |||
==Limitations== | ==Limitations== | ||
* AutoML Translation is currently in BETA. | |||
* Unlike the [[Google MT v2 Connector]], API keys cannot be used with this connector due to a [https://groups.google.com/forum/#!topic/google-translate-api/e3sOLcC1qZI limitation] of the AutoML Translation API. | |||
* The connector does not retry API calls when they fail. | |||
[[Category:Connectors]] | [[Category:Connectors]] | ||
Latest revision as of 17:01, 31 October 2018
Overview
This is a connector for Google AutoML Translation, a service that allows users to train custom models and use them for translation. If you don't require a custom model, consider using the Google MT v2 Connector instead.
Using the Connector
In order to use the connector, you'll need to create a Google service account and download a private key JSON file for the account.
You must train a model for each language pair you intend to use with the connector. Google has a tutorial on how to train a model through the AutoML Translation UI. You can also use the AutoML Translation API to train models programatically.
Parameters
Credential file path (internal name: credentialFilePath) — Absolute path on your filesystem to a JSON file containing private key information for a Google service account. This is the same JSON file described in the previous section.
Model JSON map (internal name: modelMap) — A JSON string that maps a language pair to the resource name of the model that will process translations for that language pair. Model resource names are typically of the form projects/{projectId}/locations/{computeRegion}/models/{modelId}.
Example: {"en-US/ja-JP": "projects/my-project/locations/us-central1/models/ABC123", "en-US/de-DE": "projects/my-project/locations/us-central1/models/DEF456"}
Credential string (internal name: credentialString) — JSON string containing private key information for a Google service account. This parameter is not exposed through the UI but can be set programmatically. It is used only if the credentialFilePath is null or empty.
Limitations
- AutoML Translation is currently in BETA.
- Unlike the Google MT v2 Connector, API keys cannot be used with this connector due to a limitation of the AutoML Translation API.
- The connector does not retry API calls when they fail.