We intend to replace heuristics based code completion ranking with a Decision Forest Model.
This patch introduces a format for representing the model and an inference runtime that is code-generated at build time.
- Forest.json contains all the trees as an array of trees.
- Features.json describes the features to be used.
- Codegen file takes the above two files and generates CompletionModel containing Feature struct and corresponding Evaluate function.
The Evaluate function maps a feature to a real number describing the relevance of this candidate.
- The codegen is part of build system and these files are generated at build time.
- Proposes a way to test the generated runtime using a test model.
- Replicates the model structure in unittests.
- unittest tests both the test model (for correct tree traversal) and the real model (for sanity).
This reverts commit 549e55b3d5.
Summary:
[WIP]
- Proposes a json format for representing Random Forest model.
- Proposes a way to test the generated runtime using a test model.
TODO:
- Add generated source code snippet for easier review.
- Fix unused label warning.
- Figure out required using declarations for CATEGORICAL columns from Features.json.
- Necessary Google3 internal modifications for blaze before landing.
- Add documentation for format of the model.
- Document more.
Subscribers: mgorny, ilya-biryukov, MaskRay, jkorous, arphaman, kadircet, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D83814
Utkarsh Saxena