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__init__.py
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# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
"""Placeholder docstring"""
from __future__ import absolute_import
import importlib_metadata
from sagemaker import estimator, parameter, tuner # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import ( # noqa: F401
LinearLearner,
LinearLearnerModel,
LinearLearnerPredictor,
)
from sagemaker.amazon.factorization_machines import ( # noqa: F401
FactorizationMachines,
FactorizationMachinesModel,
)
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.inputs import TrainingInput # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import ( # noqa: F401
RandomCutForest,
RandomCutForestModel,
RandomCutForestPredictor,
)
from sagemaker.amazon.knn import KNN, KNNModel, KNNPredictor # noqa: F401
from sagemaker.amazon.object2vec import Object2Vec, Object2VecModel # noqa: F401
from sagemaker.amazon.ipinsights import ( # noqa: F401
IPInsights,
IPInsightsModel,
IPInsightsPredictor,
)
from sagemaker.algorithm import AlgorithmEstimator # noqa: F401
from sagemaker.analytics import TrainingJobAnalytics, HyperparameterTuningJobAnalytics # noqa: F401
from sagemaker.local.local_session import LocalSession # noqa: F401
from sagemaker.container_base_model import ContainerBaseModel # noqa: F401
from sagemaker.model import Model, ModelPackage # noqa: F401
from sagemaker.model_metrics import ModelMetrics, MetricsSource, FileSource # noqa: F401
from sagemaker.pipeline import PipelineModel # noqa: F401
from sagemaker.predictor import Predictor # noqa: F401
from sagemaker.processing import Processor, ScriptProcessor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def, pipeline_container_def # noqa: F401
from sagemaker.session import get_model_package_args # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401
from sagemaker.automl.automl import AutoML, AutoMLJob, AutoMLInput # noqa: F401
from sagemaker.automl.candidate_estimator import CandidateEstimator, CandidateStep # noqa: F401
from sagemaker.automl.automlv2 import ( # noqa: F401
AutoMLV2,
AutoMLJobV2,
LocalAutoMLDataChannel,
AutoMLDataChannel,
AutoMLTimeSeriesForecastingConfig,
AutoMLImageClassificationConfig,
AutoMLTabularConfig,
AutoMLTextClassificationConfig,
AutoMLTextGenerationConfig,
)
from sagemaker.debugger import ProfilerConfig, Profiler # noqa: F401
from sagemaker.partner_app.auth_provider import PartnerAppAuthProvider # noqa: F401
__version__ = importlib_metadata.version("sagemaker")