@@ -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
@@ -467,8 +459,7 @@ class InputConfig(proto.Message):
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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>`__
@@ -584,8 +574,7 @@ class InputConfig(proto.Message):
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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
@@ -702,8 +691,7 @@ class InputConfig(proto.Message):
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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
@@ -736,11 +724,9 @@ class BatchPredictInputConfig(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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One or more CSV files where each line is a single column:
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@@ -760,8 +746,7 @@ class BatchPredictInputConfig(proto.Message):
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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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@@ -781,11 +766,9 @@ class BatchPredictInputConfig(proto.Message):
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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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@@ -808,8 +791,7 @@ class BatchPredictInputConfig(proto.Message):
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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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@@ -832,11 +814,9 @@ class BatchPredictInputConfig(proto.Message):
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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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@@ -857,8 +837,7 @@ class BatchPredictInputConfig(proto.Message):
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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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@@ -879,8 +858,7 @@ class BatchPredictInputConfig(proto.Message):
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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
@@ -955,8 +933,7 @@ class BatchPredictInputConfig(proto.Message):
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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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