[WIP][DO NOT MERGE] Draft implementation of the new PySpark API for support of both Spark Classic and Spark Connect#814
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extend using IArguments
generate docs to show concise data if user so asks issue zinggAI#723
0.4.1 review comments implemented for pr code coverage
changed version to 0.4.1-SNAPSHOT
merge 0.4.1 into enterprise
…nto enterprise
refactor constructor and access level of executor methods
Update Dependencies version
…ations Annotations to Generate py codes
…ations Update the Setter functions generated code in annotations
Update Annotations to generate code
code refactoring of ClientOptions
doc changes for AWS S3
final changes
Aws s3 doc refactor 838
dupe code removed issue zinggAI#598
test that model got created in train phase issue zinggAI#783
Test refactor
On branch main Your branch is up to date with 'origin/main'. Changes to be committed: modified: common/client/src/main/java/zingg/common/client/ClientOptions.java modified: protobuf/connect_plugins.proto modified: python/zingg_v2/proto/connect_plugins_pb2.py modified: python/zingg_v2/proto/connect_plugins_pb2.pyi modified: spark/client/src/main/java/zingg/spark/connect/ZinggConnectPlugin.java modified: spark/client/src/main/java/zingg/spark/connect/proto/ConnectPlugins.java
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The main idea is to make python part lazy. All the classes, like Argument, Pipe, etc. should be pure python classes that do not contain any interactions with JVM.
Interaction with JVM in this case should be encapsulated into 2-3 methods of the new
Clientand will contain passing the full JSON generated from python Arguments, Pipes, FieldDefintions, etc.