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chore: fix docs for automl (googleapis#13354)
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  • packages/google-cloud-automl/google/cloud/automl_v1/types

‎packages/google-cloud-automl/google/cloud/automl_v1/types/io.py‎

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@@ -55,11 +55,9 @@ class InputConfig(proto.Message):
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with non-terminal symbols defined near the end of this comment. The
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formats are:
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AutoML Vision
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^^^^^^^^^^^^^
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AutoML Vision:
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Classification
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''''''''''''''
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Classification:
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See `Preparing your training
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data <https://cloud.google.com/vision/automl/docs/prepare>`__ for
@@ -100,8 +98,7 @@ class InputConfig(proto.Message):
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UNASSIGNED,gs://folder/image3.jpg,daisy
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UNASSIGNED,gs://folder/image4.jpg
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Object Detection
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''''''''''''''''
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Object Detection:
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See `Preparing your training
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data <https://cloud.google.com/vision/automl/object-detection/docs/prepare>`__
@@ -151,11 +148,9 @@ class InputConfig(proto.Message):
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</section>
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</div>
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AutoML Video Intelligence
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^^^^^^^^^^^^^^^^^^^^^^^^^
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AutoML Video Intelligence:
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Classification
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''''''''''''''
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Classification:
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See `Preparing your training
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data <https://cloud.google.com/video-intelligence/automl/docs/prepare>`__
@@ -205,8 +200,7 @@ class InputConfig(proto.Message):
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gs://folder/vid2.avi,car,0,60.5
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gs://folder/vid3.avi,,,
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Object Tracking
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'''''''''''''''
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Object Tracking:
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See `Preparing your training
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data </video-intelligence/automl/object-tracking/docs/prepare>`__
@@ -269,11 +263,9 @@ class InputConfig(proto.Message):
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gs://folder/video2.avi,car,1,0,.1,.9,,,.9,.1,,
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gs://folder/video2.avi,,,,,,,,,,,
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AutoML Natural Language
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^^^^^^^^^^^^^^^^^^^^^^^
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AutoML Natural Language:
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Entity Extraction
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'''''''''''''''''
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Entity Extraction:
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See `Preparing your training
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data </natural-language/automl/entity-analysis/docs/prepare>`__ for
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},
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],
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Classification
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''''''''''''''
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Classification:
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See `Preparing your training
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data <https://cloud.google.com/natural-language/automl/docs/prepare>`__
@@ -520,8 +511,7 @@ class InputConfig(proto.Message):
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TEST,gs://folder/document.pdf
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VALIDATE,gs://folder/text_files.zip,BadFood
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Sentiment Analysis
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''''''''''''''''''
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Sentiment Analysis:
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See `Preparing your training
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data <https://cloud.google.com/natural-language/automl/docs/prepare>`__
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TEST,gs://folder/document.pdf
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VALIDATE,gs://folder/text_files.zip,2
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AutoML Tables
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^^^^^^^^^^^^^
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AutoML Tables:
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See `Preparing your training
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data <https://cloud.google.com/automl-tables/docs/prepare>`__ for
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semantic of the imported data, any string must be up to
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25000 characters long.
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AutoML Tables
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^^^^^^^^^^^^^
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AutoML Tables:
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``schema_inference_version`` : (integer) This value must be
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supplied. The version of the algorithm to use for the
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with non-terminal symbols defined near the end of this comment. The
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formats are:
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AutoML Vision
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^^^^^^^^^^^^^
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AutoML Vision:
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Classification
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''''''''''''''
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Classification:
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One or more CSV files where each line is a single column:
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gs://folder/image2.gif
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gs://folder/image3.png
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Object Detection
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''''''''''''''''
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Object Detection:
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One or more CSV files where each line is a single column:
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gs://folder/image2.gif
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gs://folder/image3.png
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AutoML Video Intelligence
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^^^^^^^^^^^^^^^^^^^^^^^^^
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AutoML Video Intelligence:
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Classification
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''''''''''''''
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Classification:
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One or more CSV files where each line is a single column:
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gs://folder/video1.mp4,20,60
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gs://folder/vid2.mov,0,inf
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Object Tracking
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'''''''''''''''
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Object Tracking:
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One or more CSV files where each line is a single column:
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gs://folder/video1.mp4,20,60
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gs://folder/vid2.mov,0,inf
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AutoML Natural Language
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^^^^^^^^^^^^^^^^^^^^^^^
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AutoML Natural Language:
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Classification
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''''''''''''''
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Classification:
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One or more CSV files where each line is a single column:
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gs://folder/text2.pdf
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gs://folder/text3.tif
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Sentiment Analysis
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''''''''''''''''''
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Sentiment Analysis:
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One or more CSV files where each line is a single column:
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gs://folder/text2.pdf
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gs://folder/text3.tif
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Entity Extraction
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'''''''''''''''''
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Entity Extraction:
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One or more JSONL (JSON Lines) files that either provide inline text
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or documents. You can only use one format, either inline text or
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}
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}
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AutoML Tables
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^^^^^^^^^^^^^
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AutoML Tables:
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See `Preparing your training
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data <https://cloud.google.com/automl-tables/docs/predict-batch>`__

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