testbed/googleapis__python-aiplatform/google/cloud/aiplatform/schema.py

# -*- coding: utf-8 -*-

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

"""Namespaced Vertex AI Schemas."""


class training_job:
    class definition:
        custom_task = "gs://google-cloud-aiplatform/schema/trainingjob/definition/custom_task_1.0.0.yaml"
        automl_tabular = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_tabular_1.0.0.yaml"
        automl_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_time_series_forecasting_1.0.0.yaml"
        seq2seq_plus_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/seq2seq_plus_time_series_forecasting_1.0.0.yaml"
        tft_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/temporal_fusion_transformer_time_series_forecasting_1.0.0.yaml"
        tide_forecasting = "gs://google-cloud-aiplatform/schema/trainingjob/definition/time_series_dense_encoder_forecasting_1.0.0.yaml"
        automl_image_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_image_classification_1.0.0.yaml"
        automl_image_object_detection = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_image_object_detection_1.0.0.yaml"
        automl_text_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_classification_1.0.0.yaml"
        automl_text_extraction = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_extraction_1.0.0.yaml"
        automl_text_sentiment = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_text_sentiment_1.0.0.yaml"
        automl_video_action_recognition = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_action_recognition_1.0.0.yaml"
        automl_video_classification = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_classification_1.0.0.yaml"
        automl_video_object_tracking = "gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_video_object_tracking_1.0.0.yaml"


class dataset:
    class metadata:
        tabular = (
            "gs://google-cloud-aiplatform/schema/dataset/metadata/tabular_1.0.0.yaml"
        )
        time_series = "gs://google-cloud-aiplatform/schema/dataset/metadata/time_series_1.0.0.yaml"
        image = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"
        text = "gs://google-cloud-aiplatform/schema/dataset/metadata/text_1.0.0.yaml"
        video = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml"

    class ioformat:
        class image:
            multi_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_classification_multi_label_io_format_1.0.0.yaml"
            single_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_classification_single_label_io_format_1.0.0.yaml"
            bounding_box = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_bounding_box_io_format_1.0.0.yaml"
            image_segmentation = "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_segmentation_io_format_1.0.0.yaml"

        class text:
            multi_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_classification_multi_label_io_format_1.0.0.yaml"
            single_label_classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_classification_single_label_io_format_1.0.0.yaml"
            extraction = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_extraction_io_format_1.0.0.yaml"
            sentiment = "gs://google-cloud-aiplatform/schema/dataset/ioformat/text_sentiment_io_format_1.0.0.yaml"

        class video:
            action_recognition = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_action_recognition_io_format_1.0.0.yaml"
            classification = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_classification_io_format_1.0.0.yaml"
            object_tracking = "gs://google-cloud-aiplatform/schema/dataset/ioformat/video_object_tracking_io_format_1.0.0.yaml"

    class annotation:
        class image:
            classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_classification_1.0.0.yaml"
            bounding_box = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_bounding_box_1.0.0.yaml"
            segmentation = "gs://google-cloud-aiplatform/schema/dataset/annotation/image_segmentation_1.0.0.yaml"

        class text:
            classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_classification_1.0.0.yaml"
            extraction = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_extraction_1.0.0.yaml"
            sentiment = "gs://google-cloud-aiplatform/schema/dataset/annotation/text_sentiment_1.0.0.yaml"

        class video:
            classification = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_classification_1.0.0.yaml"
            object_tracking = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_object_tracking_1.0.0.yaml"
            action_recognition = "gs://google-cloud-aiplatform/schema/dataset/annotation/video_action_recognition_1.0.0.yaml"