Update #5
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Update #5
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* correct prepare_env.sh path * Alternative way to prepare envs
* refactor: recontruct orca RayOnSparkContext init process. * refactor: rename the function. * refactor: format code * refactor: activate RayOnSparkContext * refactor: rename function name * refactor: rename function name * refactor: rename function * fix: for OrcaRayContext, init num_ray_nodes and ray_node_cpu_cores after init and setup RayOnSparkContext.
* Update Occlum SparkPi K8s config and readme * Update Occlum SparkPi docker config and readme
* avoid onnx model frequently save/load * rename test class
* Created using Colaboratory * Fix url * Created using Colaboratory * Created using Colaboratory * Created using Colaboratory * Created using Colaboratory * Created using Colaboratory * modify colab link * update colab link * Created using Colaboratory * update colab link * Update dllib_keras_api.ipynb * remove log * remove dashboard log * bug fix * Created using Colaboratory * remove log and update link
* update doc * update * update * update
* remove toc from landing page * update extension version * resolve version conflict * remove toc in page * fix toc * fix toc * revise toc * revise toc * revise toc * revise toc * revise toc * revise toc * revise toc * revise toc * revise toc
* add spark2.4.6 build with maven * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update
* support read/write json file * add scala UT * update doc Co-authored-by: Zhou <[email protected]>
* Refine time output * Fix typo
* add spark backend test * export the dir to PYTHONPATH
* replace head workers with current ray head * move get_node_ip_address to a function * recover get_node_ip in ray_worker
deploy python pypi
#5170) * remove duplicate exposed APIs * add openvino basic tests * fix openvino workflow * revert openvino api in pytorch * fix env removal * remove downloading in ut
* add bigdl backend * add bigdl backend * delete the dataloader. * add bigdl backend * modify the description about backend * add bigdl test * delete the bigdl backend test * add the jep requirements * delete protobuf and ray * delete evaluate process when use bigdl backend * modify the result in readme file
* remove duplicate code in random_split() * give cross_hash_encode() the ability to process multi-pairs columns * split now an alias for random_split * cross_columns now an alias for cross_hash_encode * update function call in wnd_preprocessing.py
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Update