82 lines
5.6 KiB
Python
82 lines
5.6 KiB
Python
# -*- 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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# 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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#
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"""Namespaced Vertex AI Schemas."""
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class training_job:
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class definition:
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custom_task = "gs://google-cloud-aiplatform/schema/trainingjob/definition/custom_task_1.0.0.yaml"
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automl_tabular = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_tabular_1.0.0.yaml"
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automl_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_time_series_forecasting_1.0.0.yaml"
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seq2seq_plus_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/seq2seq_plus_time_series_forecasting_1.0.0.yaml"
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tft_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/temporal_fusion_transformer_time_series_forecasting_1.0.0.yaml"
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tide_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/time_series_dense_encoder_forecasting_1.0.0.yaml"
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automl_image_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_image_classification_1.0.0.yaml"
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automl_image_object_detection = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_image_object_detection_1.0.0.yaml"
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automl_text_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_classification_1.0.0.yaml"
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automl_text_extraction = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_extraction_1.0.0.yaml"
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automl_text_sentiment = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_sentiment_1.0.0.yaml"
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automl_video_action_recognition = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_action_recognition_1.0.0.yaml"
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automl_video_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_classification_1.0.0.yaml"
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automl_video_object_tracking = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_object_tracking_1.0.0.yaml"
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class dataset:
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class metadata:
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tabular = (
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"gs://google-cloud-aiplatform/schema/dataset/metadata/tabular_1.0.0.yaml"
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)
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time_series = "gs://google-cloud-aiplatform/schema/dataset/metadata/time_series_1.0.0.yaml"
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image = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"
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text = "gs://google-cloud-aiplatform/schema/dataset/metadata/text_1.0.0.yaml"
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video = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml"
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class ioformat:
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class image:
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multi_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_classification_multi_label_io_format_1.0.0.yaml"
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single_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_classification_single_label_io_format_1.0.0.yaml"
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bounding_box = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_bounding_box_io_format_1.0.0.yaml"
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image_segmentation = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_segmentation_io_format_1.0.0.yaml"
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class text:
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multi_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_classification_multi_label_io_format_1.0.0.yaml"
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single_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_classification_single_label_io_format_1.0.0.yaml"
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extraction = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_extraction_io_format_1.0.0.yaml"
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sentiment = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_sentiment_io_format_1.0.0.yaml"
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class video:
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action_recognition = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_action_recognition_io_format_1.0.0.yaml"
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classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_classification_io_format_1.0.0.yaml"
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object_tracking = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_object_tracking_io_format_1.0.0.yaml"
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class annotation:
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class image:
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classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_classification_1.0.0.yaml"
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bounding_box = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_bounding_box_1.0.0.yaml"
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segmentation = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_segmentation_1.0.0.yaml"
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class text:
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classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_classification_1.0.0.yaml"
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extraction = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_extraction_1.0.0.yaml"
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sentiment = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_sentiment_1.0.0.yaml"
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class video:
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classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_classification_1.0.0.yaml"
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object_tracking = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_object_tracking_1.0.0.yaml"
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action_recognition = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_action_recognition_1.0.0.yaml"
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