0.5.0

Highlight

• Provide a new set of API for Tensorflow and PyTorch. It is more intuitive and user-friendly.
• Support FlinkML estimator style API in Python, you can check out the quick start examples for Tensorflow 1.15 and PyTorch.
• Support iterative training with data from Flink table.
• Dependencies management of Python API is now seamlessly integrated with the dependencies management of PyFlink, detail can be found here.

What's Changed

• Bump dl-on-flink version by @Sxnan in #700
• Update quick start doc by @Sxnan in #695
• Bump hadoop-common from 2.8.0 to 2.10.1 by @dependabot in #697
• Bump junit from 4.12 to 4.13.1 by @dependabot in #688
• Bump httpclient from 4.5.6 to 4.5.13 by @dependabot in #684
• Recommend using virtualenv for quick start by @Sxnan in #703
• Rename modules from flink-ml-* to dl-on-flink-* by @Sxnan in #702
• Add inference example to quick start by @Sxnan in #705
• Run example in github action nighlty by @Sxnan in #707
• Include pybind as submodule by @Sxnan in #708
• Add github workflow to prepare release by @Sxnan in #709
• Remove extra space of commands in quick start by @Sxnan in #710
• Increase timeout waiting for AM in testing by @Sxnan in #712
• Fix unstable unit test AppMasterServerTest#multiRegisterNode by @Sxnan in #714
• Use the archive url to download flink binary by @Sxnan in #715
• Add checkstyle and spotless by @Sxnan in #718
• Refactor RoleUtils and TFUtils API by @Sxnan in #716
• NodeUtils set python path properties with entry file path at first by @Sxnan in #721
• Install dev wheels for nightly build by @Sxnan in #722
• AMInputFormat wait for am node finish before return from reachedEnd by @Sxnan in #724
• Support Tensorflow on Flink iterative batch training by @Sxnan in #723
• Add Python TFUtils API by @Sxnan in #726
• Update TensorBoardPythonRunner by @Sxnan in #730
• Update DL on Flink Tensorflow Python API by @Sxnan in #731
• Use RowCSVCoding as TF default encoding/decoding class by @Sxnan in #732
• Run python unit test in GitHub workflow by @Sxnan in #734
• Support pyFlink env configuration by @Sxnan in #733
• Bump Supported Tensorflow version to 2.4.x by @Sxnan in #736
• Update Project Copyright Header by @Sxnan in #737
• Introduce the New PyTorch API by @Sxnan in #735
• Rename PytorchContext to PyTorchContext by @Sxnan in #738
• Update quick start examples by @Sxnan in #739
• Fix prepare release workflow by @Sxnan in #741
• Specify protobuf version for dl-on-flink-tensorflow wheel build by @Sxnan in #742
• DL on Flink support FlinkML API by @Sxnan in #743
• Fix examples by @Sxnan in #745
• Avoid tight loop in NodeOperator#onEpochWatermarkIncremented by @Sxnan in #747
• Support adding extra cluster config properties to estimator by @Sxnan in #746
• Bump fastjson from 1.2.49 to 1.2.83 by @dependabot in #748
• Add flink ml estimator examples by @Sxnan in #750
• Update NodeOperator and NodeInputFormat close timeout by @Sxnan in #749
• Fix unstable failover test by @Sxnan in #751
• NodeServer#stopMLRunner should not swallow the InterruptedException by @Sxnan in #752
• Add Java examples for Tensorflow and PyTorch by @Sxnan in #753
• Add DL on Flink API docs by @Sxnan in #754
• NodeServer is interrupted periodically if it is not terminated on time by @Sxnan in #755
• Specify grpcio version upper bound by @Sxnan in #756

Full Changelog: 0.4.0...0.5.0-rc0