CompileML
Compile tree-ensemble models into deterministic, auditable decision artifacts: score, calibrated PD, risk bands, and adverse-action reason codes in one hashed JSON that produces identical integers in Python, SQL, and COBOL
What XERJ indexed
Snapshot
The whole repository at commit 9eda1f9500 (2026-09-28). main is 8 commits ahead.
Selected work
“Refuse missing values instead of compiling a model the artifact canno…”. 6 files, 212 lines in tests, src/compileml.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
cobolcredit-riskcredit-scoringexplainable-aifintechinterpretabilitylightgbmmachine-learning
Example questions
- How does CompileML implement cobol?
- What does src/compileml do in CompileML?
- Show the credit-risk code in CompileML.
Inside the indexed corpus
- On GitHub since 2026-08-15, last push 2026-10-27, 145 commits on main.
- The pin is 8 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported Apache-2.0 for orgoca/CompileML on 2026-10-29, and the LICENSE file at commit 9eda1f9500 was reviewed as Apache-2.0. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
orgoca (@orgoca) has 1 selected repository on the hub.
Using XERJ with CompileML
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones orgoca/CompileML at the pinned commit and indexes it on your machine.
Search the GitHub repository orgoca/CompileML with XERJ (https://hub.xerj.org/corpus/orgoca--compileml). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/orgoca/CompileML CompileML && git -C CompileML checkout 9eda1f9500f9261268fdaea5d3aa90d69204efd3 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./CompileML --url http://127.0.0.1:9200 --prefix compileml --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: Apache-2.0. Keep the copyright notice and credit the authors.
Related
orgocaAI, prompts and agents corporacognitaadalflowpubhealth-fact-checkingAmaLS367/InferWeaveeyadstein/leaklensmatteosgobba/apex-pulse
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.