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feat: adds enhanced protos for time series forecasting (#374)
This PR migrates from autosynth to [owl bot](https://github.com/googleapis/repo-automation-bots/tree/master/packages/owl-bot). owl bot will save time for maintainers as it will automatically open PRs when there are updates in [googleapis-gen](https://github.com/googleapis/googleapis-gen/tree/master/google) without requiring maintainers to run `synthtool` to build the client from protos. Additionally, similar to autosynth, PRs will be automatically opened when there are template updates. Googlers see [here](http://go/owlbot-user-guide). This PR also pulls in the latest API changes from googleapis-gen and synthtool templates. This PR includes the following features/fixes/doc updates. chore: migrate to owl bot docs: removes tinyurl links docs: changes product name to Vertex AI docs: correct link to fieldmask feat: adds enhanced protos for time series forecasting fix: remove display_name from FeatureStore feat: add invalid_row_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata feat: add featurestore, index, metadata, monitoring, pipeline, and tensorboard services to aiplatform v1beta1 fix: configuring timeouts for aiplatform v1 methods feat: remove unsupported accelerator types feat: add aiplatform API Vizier service feat: removes forecasting (time_series_forecasting proto) from public v1beta1 protos chore: updates copyright on schema/ protos chore: updates prediction and training proto files to v1beta1 AI Platform client libraries. feat: removes unused protos from schema/ folders: schema/io_format.proto, schema/saved_query_metadata.proto feat: ImageSegmentationPredictionResult.category_mask field changed to string data type feat: AutoMlImageSegmentationInputs.ModelType adds MOBILE_TF_LOW_LATENCY constant feat: AutoMlVideoClassificationInputs.ModelType adds MOBILE_JETSON_VERSATILE_1 constant fix: add async client to %name_%version/init.py chore: add autogenerated snippets chore: remove auth, policy, and options from the reserved names list feat: support self-signed JWT flow for service accounts chore: enable GAPIC metadata generation chore: sort subpackages in %namespace/%name/init.py
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‎.github/.OwlBot.lock.yaml‎

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docker:
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digest: sha256:457583330eec64daa02aeb7a72a04d33e7be2428f646671ce4045dcbc0191b1e
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image: gcr.io/repo-automation-bots/owlbot-python:latest
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‎.github/.OwlBot.yaml‎

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# Copyright 2021 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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docker:
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image: gcr.io/repo-automation-bots/owlbot-python:latest
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deep-remove-regex:
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- /owl-bot-staging
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deep-copy-regex:
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- source: /google/cloud/aiplatform/(v.*)/.*-py/(.*)
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dest: /owl-bot-staging/$1/$2
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begin-after-commit-hash: 7774246dfb7839067cd64bba0600089b1c91bd85
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‎.pre-commit-config.yaml‎

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hooks:
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- id: black
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- repo: https://gitlab.com/pycqa/flake8
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rev: 3.9.2
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rev: 3.9.1
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hooks:
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- id: flake8

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction/__init__.py‎

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from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.text_sentiment import (
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TextSentimentPredictionResult,
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)
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from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.time_series_forecasting import (
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TimeSeriesForecastingPredictionResult,
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)
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from google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.video_action_recognition import (
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VideoActionRecognitionPredictionResult,
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)
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"TabularRegressionPredictionResult",
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"TextExtractionPredictionResult",
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"TextSentimentPredictionResult",
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"TimeSeriesForecastingPredictionResult",
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"VideoActionRecognitionPredictionResult",
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"VideoClassificationPredictionResult",
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"VideoObjectTrackingPredictionResult",

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/__init__.py‎

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from .types.tabular_regression import TabularRegressionPredictionResult
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from .types.text_extraction import TextExtractionPredictionResult
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from .types.text_sentiment import TextSentimentPredictionResult
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from .types.time_series_forecasting import TimeSeriesForecastingPredictionResult
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from .types.video_action_recognition import VideoActionRecognitionPredictionResult
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from .types.video_classification import VideoClassificationPredictionResult
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from .types.video_object_tracking import VideoObjectTrackingPredictionResult
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"TabularRegressionPredictionResult",
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"TextExtractionPredictionResult",
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"TextSentimentPredictionResult",
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"TimeSeriesForecastingPredictionResult",
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"VideoActionRecognitionPredictionResult",
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"VideoClassificationPredictionResult",
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"VideoObjectTrackingPredictionResult",

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/__init__.py‎

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from .tabular_regression import TabularRegressionPredictionResult
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from .text_extraction import TextExtractionPredictionResult
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from .text_sentiment import TextSentimentPredictionResult
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from .time_series_forecasting import TimeSeriesForecastingPredictionResult
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from .video_action_recognition import VideoActionRecognitionPredictionResult
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from .video_classification import VideoClassificationPredictionResult
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from .video_object_tracking import VideoObjectTrackingPredictionResult
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"TabularRegressionPredictionResult",
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"TextExtractionPredictionResult",
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"TextSentimentPredictionResult",
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"TimeSeriesForecastingPredictionResult",
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"VideoActionRecognitionPredictionResult",
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"VideoClassificationPredictionResult",
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"VideoObjectTrackingPredictionResult",

‎google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py‎

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# -*- coding: utf-8 -*-
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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import proto # type: ignore
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class TimeSeriesForecastingPredictionResult(proto.Message):
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r"""Prediction output format for Time Series Forecasting.
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Attributes:
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value (float):
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The regression value.
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lower_bound (float):
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The lower bound of the prediction interval.
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upper_bound (float):
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The upper bound of the prediction interval.
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"""
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value = proto.Field(proto.FLOAT, number=1)
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lower_bound = proto.Field(proto.FLOAT, number=2)
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upper_bound = proto.Field(proto.FLOAT, number=3)
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value = proto.Field(proto.FLOAT, number=1,)
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__all__ = tuple(sorted(__protobuf__.manifest))

‎google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/__init__.py‎

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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_text_sentiment import (
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AutoMlTextSentimentInputs,
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)
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
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AutoMlForecasting,
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)
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
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AutoMlForecastingInputs,
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)
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_time_series_forecasting import (
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AutoMlForecastingMetadata,
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)
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from google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.automl_video_action_recognition import (
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AutoMlVideoActionRecognition,
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)
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"AutoMlTextExtractionInputs",
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"AutoMlTextSentiment",
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"AutoMlTextSentimentInputs",
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"AutoMlForecasting",
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"AutoMlForecastingInputs",
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"AutoMlForecastingMetadata",
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"AutoMlVideoActionRecognition",
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"AutoMlVideoActionRecognitionInputs",
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"AutoMlVideoClassification",

‎google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/__init__.py‎

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from .types.automl_text_extraction import AutoMlTextExtractionInputs
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from .types.automl_text_sentiment import AutoMlTextSentiment
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from .types.automl_text_sentiment import AutoMlTextSentimentInputs
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from .types.automl_time_series_forecasting import AutoMlForecasting
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from .types.automl_time_series_forecasting import AutoMlForecastingInputs
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from .types.automl_time_series_forecasting import AutoMlForecastingMetadata
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from .types.automl_video_action_recognition import AutoMlVideoActionRecognition
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from .types.automl_video_action_recognition import AutoMlVideoActionRecognitionInputs
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from .types.automl_video_classification import AutoMlVideoClassification
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from .types.export_evaluated_data_items_config import ExportEvaluatedDataItemsConfig
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__all__ = (
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"AutoMlForecasting",
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"AutoMlForecastingInputs",
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"AutoMlForecastingMetadata",
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"AutoMlImageClassification",
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"AutoMlImageClassificationInputs",
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"AutoMlImageClassificationMetadata",

‎google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/__init__.py‎

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AutoMlTextSentiment,
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AutoMlTextSentimentInputs,
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)
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from .automl_time_series_forecasting import (
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AutoMlForecasting,
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AutoMlForecastingInputs,
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AutoMlForecastingMetadata,
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)
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from .automl_video_action_recognition import (
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AutoMlVideoActionRecognition,
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AutoMlVideoActionRecognitionInputs,
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"AutoMlTextExtractionInputs",
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"AutoMlTextSentiment",
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"AutoMlTextSentimentInputs",
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"AutoMlForecasting",
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"AutoMlForecastingInputs",
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"AutoMlForecastingMetadata",
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"AutoMlVideoActionRecognition",
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"AutoMlVideoActionRecognitionInputs",
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"AutoMlVideoClassification",

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