Move ROOT ML data loader to tree#21137
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vepadulano wants to merge 1 commit intoroot-project:masterfrom
Open
Move ROOT ML data loader to tree#21137vepadulano wants to merge 1 commit intoroot-project:masterfrom
vepadulano wants to merge 1 commit intoroot-project:masterfrom
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Test Results 22 files + 22 22 suites +22 3d 15h 59m 40s ⏱️ + 3d 15h 59m 40s Results for commit 3b88d38. ± Comparison against base commit 7e8e273. ♻️ This comment has been updated with latest results. |
pcanal
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siliataider
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The native ROOT data loading for ML training functionality is related to IO and processing of structured data. It only depends on the ROOTDataFrame component. As such, the following decisions have been made for this part of the codebase: - C++ code - It is meant for internal use only - It is hosted in tree/ml in the repository - It is written in the ROOT[::Experimental]::Internal::ML namespace - The headers will appear in the include/ROOT/ML directory in the install tree - Python code - It contains the public API - Public functions appear under ROOT[.Experimental].ML module All public references to the name 'batch generator' are removed to avoid mixing responsibilities: RBatchGenerator is just the name of an internal class, which is never exposed to the user directly. Update tests and tutorials accordingly. Apply formatting changes to C++ and Python files. Add code owners to new directory.
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The native ROOT data loading for ML training functionality is related to IO and
processing of structured data. It only depends on the ROOTDataFrame component.
As such, the following decisions have been made for this part of the codebase:
C++ code
Python code
All public references to the name 'batch generator' are removed to avoid mixing
responsibilities: RBatchGenerator is just the name of an internal class, which
is never exposed to the user directly.
Update tests and tutorials accordingly.
Apply formatting changes to C++ and Python files.
Add code owners to new directory.