feat(automl): add support for image classification, image object detection, text classification, text extraction; add batch_predict; add deploy_model, undeploy_model, export_model; add annotation specs (via synth)
#9628
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googlebot
added
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cla: yes
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busunkim96
reviewed
Nov 8, 2019
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Notes for myself to make sense of what is in this commit
High level summary:
- Add support for Image Classification, Image Object Detection, Text Classification, Text Extraction, and Text Sentiment
- Add
batch_predict - Add
deploy_model,undeploy_model, andexport_model - Add annotation specs
| @@ -878,6 +892,75 @@ def export_data( | |||
| metadata_type=proto_operations_pb2.OperationMetadata, | |||
| ) | |||
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| def get_annotation_spec( | |||
| @@ -1324,6 +1407,307 @@ def delete_model( | |||
| metadata_type=proto_operations_pb2.OperationMetadata, | |||
| ) | |||
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| def deploy_model( | |||
| metadata_type=proto_operations_pb2.OperationMetadata, | ||
| ) | ||
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| def undeploy_model( |
| metadata_type=proto_operations_pb2.OperationMetadata, | ||
| ) | ||
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| def export_model( |
| @@ -19,6 +19,80 @@ | |||
| import enum | |||
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| class ClassificationType(enum.IntEnum): | |||
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Add ClasisificationType enum (classification problem type)
| "magnitude" from the previous Natural Language Sentiment | ||
| Analysis API. | ||
| """, | ||
| # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.TextSentimentAnnotation) |
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Add TextSentimentAnnotation
| the overall model evaluation, not for evaluation of a single | ||
| annotation spec. | ||
| """, | ||
| # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.TextSentimentEvaluationMetrics) |
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Add TextSentimentEvaluationMetrics
| node_count: | ||
| Output only. The number of nodes this model is deployed on. A | ||
| node is an abstraction of a machine resource, which can handle | ||
| online prediction QPS as given in the node\_qps field. | ||
| """, | ||
| # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata) |
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Add node_qps and node_count to ImageClassificationModelMetadata in v1beta1
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| additional_optimization_objective_config: | ||
| Additional optimization objective configuration. Required for | ||
| ``MAXIMIZE_PRECISION_AT_RECALL`` and | ||
| ``MAXIMIZE_RECALL_AT_PRECISION``, otherwise unused. | ||
| optimization_objective_recall_value: | ||
| Required when optimization\_objective is | ||
| "MAXIMIZE\_PRECISION\_AT\_RECALL". Must be between 0 and 1, | ||
| inclusive. | ||
| optimization_objective_precision_value: | ||
| Required when optimization\_objective is | ||
| "MAXIMIZE\_RECALL\_AT\_PRECISION". Must be between 0 and 1, | ||
| inclusive. |
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Add additional_optimization_objective_config, optimization_objective_recall_value, optimization_objective_precision_value to TablesModelMetadata
| Attributes: | ||
| classification_type: | ||
| Output only. Classification type of the dataset used to train | ||
| this model. | ||
| """, | ||
| # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationModelMetadata) |
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Add classification_type to v1beta1.TextClassificationModelMetadata
busunkim96
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batch_predict; add deploy_model, undeploy_model, export_model, add annotation specs (via synth)
busunkim96
changed the title
batch_predict; add deploy_model, undeploy_model, export_model, add annotation specs (via synth)batch_predict; add deploy_model, undeploy_model, export_model, add annotation specs (via synth)
busunkim96
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batch_predict; add deploy_model, undeploy_model, export_model, add annotation specs (via synth)batch_predict; add deploy_model, undeploy_model, export_model; add annotation specs (via synth)
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Docs build is failing because the requests docs are down. 😭 |
busunkim96
approved these changes
Nov 13, 2019
This was referenced Jan 29, 2020
[CHANGE ME] Re-generated container to pick up changes in the API or client library generator.
#10256
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…ction, text classification, text extraction; add `batch_predict`; add `deploy_model`, `undeploy_model`, `export_model`; add annotation specs (via synth) (#9628)
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