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Update RELEASE.md and setup.py (#1291)
* Update RELEASE.md and setup.py * fix the version
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|# Release 0.1.0|
|## Major Features and Improvements|
|- This is the first release of ElasticDL. It supports TensorFlow 2.0.|
|- Includes a master-worker architecture, where the master controls task generation and entire job progress. Workers communicate with the master to get the tasks to execute and report execution results.|
|- Supports different job types: training-only, training-with-evaluation, evaluation-only and prediction-only.|
|- Provides high-level APIs and CLI for training, evaluation and prediction.|
|- Supports running in environments, including MiniKube, GCP, and on-prem clusters.|
|- Adds experimental integration with SQLFlow for ODPS data source.|