Google AutoML Connector: Difference between revisions
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<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>. | <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 | * 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. | * 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. | * 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.