structure saas with tools

.venv/lib/python3.10/site-packages/vertexai/resources/__init__.py

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+# -*- coding: utf-8 -*-
+
+# Copyright 2024 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.
+#
+"""The vertexai resources module."""
+
+from google.cloud.aiplatform import initializer
+
+from google.cloud.aiplatform.datasets import (
+    ImageDataset,
+    TabularDataset,
+    TextDataset,
+    TimeSeriesDataset,
+    VideoDataset,
+)
+from google.cloud.aiplatform import explain
+from google.cloud.aiplatform import gapic
+from google.cloud.aiplatform import hyperparameter_tuning
+from google.cloud.aiplatform.featurestore import (
+    EntityType,
+    Feature,
+    Featurestore,
+)
+from google.cloud.aiplatform.matching_engine import (
+    MatchingEngineIndex,
+    MatchingEngineIndexEndpoint,
+)
+from google.cloud.aiplatform import metadata
+from google.cloud.aiplatform.tensorboard import uploader_tracker
+from google.cloud.aiplatform.models import DeploymentResourcePool
+from google.cloud.aiplatform.models import Endpoint
+from google.cloud.aiplatform.models import PrivateEndpoint
+from google.cloud.aiplatform.models import Model
+from google.cloud.aiplatform.models import ModelRegistry
+from google.cloud.aiplatform.model_evaluation import ModelEvaluation
+from google.cloud.aiplatform.jobs import (
+    BatchPredictionJob,
+    CustomJob,
+    HyperparameterTuningJob,
+    ModelDeploymentMonitoringJob,
+)
+from google.cloud.aiplatform.pipeline_jobs import PipelineJob
+from google.cloud.aiplatform.pipeline_job_schedules import (
+    PipelineJobSchedule,
+)
+from google.cloud.aiplatform.tensorboard import (
+    Tensorboard,
+    TensorboardExperiment,
+    TensorboardRun,
+    TensorboardTimeSeries,
+)
+from google.cloud.aiplatform.training_jobs import (
+    CustomTrainingJob,
+    CustomContainerTrainingJob,
+    CustomPythonPackageTrainingJob,
+    AutoMLTabularTrainingJob,
+    AutoMLForecastingTrainingJob,
+    SequenceToSequencePlusForecastingTrainingJob,
+    TemporalFusionTransformerForecastingTrainingJob,
+    TimeSeriesDenseEncoderForecastingTrainingJob,
+    AutoMLImageTrainingJob,
+    AutoMLTextTrainingJob,
+    AutoMLVideoTrainingJob,
+)
+
+from google.cloud.aiplatform import helpers
+
+"""
+Usage:
+import vertexai
+
+vertexai.init(project='my_project')
+"""
+init = initializer.global_config.init
+
+get_pipeline_df = metadata.metadata._LegacyExperimentService.get_pipeline_df
+
+log_params = metadata.metadata._experiment_tracker.log_params
+log_metrics = metadata.metadata._experiment_tracker.log_metrics
+log_classification_metrics = (
+    metadata.metadata._experiment_tracker.log_classification_metrics
+)
+log_model = metadata.metadata._experiment_tracker.log_model
+get_experiment_df = metadata.metadata._experiment_tracker.get_experiment_df
+start_run = metadata.metadata._experiment_tracker.start_run
+autolog = metadata.metadata._experiment_tracker.autolog
+start_execution = metadata.metadata._experiment_tracker.start_execution
+log = metadata.metadata._experiment_tracker.log
+log_time_series_metrics = metadata.metadata._experiment_tracker.log_time_series_metrics
+end_run = metadata.metadata._experiment_tracker.end_run
+
+upload_tb_log = uploader_tracker._tensorboard_tracker.upload_tb_log
+start_upload_tb_log = uploader_tracker._tensorboard_tracker.start_upload_tb_log
+end_upload_tb_log = uploader_tracker._tensorboard_tracker.end_upload_tb_log
+
+save_model = metadata._models.save_model
+get_experiment_model = metadata.schema.google.artifact_schema.ExperimentModel.get
+
+Experiment = metadata.experiment_resources.Experiment
+ExperimentRun = metadata.experiment_run_resource.ExperimentRun
+Artifact = metadata.artifact.Artifact
+Execution = metadata.execution.Execution
+Context = metadata.context.Context
+
+
+__all__ = (
+    "end_run",
+    "explain",
+    "gapic",
+    "init",
+    "helpers",
+    "hyperparameter_tuning",
+    "log",
+    "log_params",
+    "log_metrics",
+    "log_classification_metrics",
+    "log_model",
+    "log_time_series_metrics",
+    "get_experiment_df",
+    "get_pipeline_df",
+    "start_run",
+    "start_execution",
+    "save_model",
+    "get_experiment_model",
+    "autolog",
+    "upload_tb_log",
+    "start_upload_tb_log",
+    "end_upload_tb_log",
+    "Artifact",
+    "AutoMLImageTrainingJob",
+    "AutoMLTabularTrainingJob",
+    "AutoMLForecastingTrainingJob",
+    "AutoMLTextTrainingJob",
+    "AutoMLVideoTrainingJob",
+    "BatchPredictionJob",
+    "CustomJob",
+    "CustomTrainingJob",
+    "CustomContainerTrainingJob",
+    "CustomPythonPackageTrainingJob",
+    "DeploymentResourcePool",
+    "Endpoint",
+    "EntityType",
+    "Execution",
+    "Experiment",
+    "ExperimentRun",
+    "Feature",
+    "Featurestore",
+    "MatchingEngineIndex",
+    "MatchingEngineIndexEndpoint",
+    "ImageDataset",
+    "HyperparameterTuningJob",
+    "Model",
+    "ModelRegistry",
+    "ModelEvaluation",
+    "ModelDeploymentMonitoringJob",
+    "PipelineJob",
+    "PipelineJobSchedule",
+    "PrivateEndpoint",
+    "SequenceToSequencePlusForecastingTrainingJob",
+    "TabularDataset",
+    "Tensorboard",
+    "TensorboardExperiment",
+    "TensorboardRun",
+    "TensorboardTimeSeries",
+    "TextDataset",
+    "TemporalFusionTransformerForecastingTrainingJob",
+    "TimeSeriesDataset",
+    "TimeSeriesDenseEncoderForecastingTrainingJob",
+    "VideoDataset",
+)