v1.55.4

Bug Fixes and Other Changes

• use valid encryption key arg for S3 downloads
• update sagemaker pytorch containers to external link
• allow specifying model name when creating a Transformer from an Estimator
• allow specifying model name in create_model() for TensorFlow, SKLearn, and XGBoost
• allow specifying model name in create_model() for Chainer, MXNet, PyTorch, and RL

Documentation Changes

• fix wget endpoints
• add Adobe Analytics; upgrade Sphinx and docs environment
• Explain why default model_fn loads PyTorch-EI models to CPU by default
• Set theme in conf.py
• correct transform()'s wait default value to "False"

Testing and Release Infrastructure

• move unit tests for updating an endpoint to test_deploy.py
• move Neo unit tests to a new file and directly use the Model class
• move Model.deploy unit tests to separate file
• add Model unit tests for delete_model and enable_network_isolation
• skip integ tests in PR build if only unit tests are modified
• add Model unit tests for prepare_container_def and _create_sagemaker_model
• use Model class for model deployment unit tests
• split model unit tests by Model, FrameworkModel, and ModelPackage
• add Model unit tests for all transformer() params
• add TF batch transform integ test with KMS and network isolation
• use pytest fixtures in batch transform integ tests to train and upload to S3 only once
• improve unit tests for creating Transformers and transform jobs
• add PyTorch + custom model bucket batch transform integ test