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train_and_validate

Syntologyentry name in harvested coderead from the graph 2026-09-24

train_and_validate appears in the code Syntology harvested for 5 papers, as 6 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named train_and_validate do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 6 distinct code bodies named train_and_validate; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
0ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 8 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

5 papers shown of 5, newest first; 8 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Multi-Scale Representation Learning for Protein Fitness Prediction 2 Dec 2024 deepgraphlearning/s3f/script/pretrain.py 4437a10c67d7e3b8 unverified MIT (permissive)
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures 11 Mar 2023 identical code first harvested elsewhere 30bb4a1a37663d9c unverified licence of this copy not recorded
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures 11 Mar 2023 identical code first harvested elsewhere 81beaaea01060569 unverified licence of this copy not recorded
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts 28 Jan 2023 DeepGraphLearning/ProtST/script/run_downstream.py 849819576c34835d ran · our draft was wrong Apache-2.0 (permissive)
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding 5 Jun 2022 DeepGraphLearning/PEER_Benchmark/script/run_single.py 6cdd2cf240cdfce8 unverified Apache-2.0 (permissive)
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding 5 Jun 2022 DeepGraphLearning/PEER_Benchmark/script/run_multi.py 2cb1b6e4c11814b4 unverified Apache-2.0 (permissive)
Protein Representation Learning by Geometric Structure Pretraining 11 Mar 2022 deepgraphlearning/esm-gearnet/script/downstream.py 30bb4a1a37663d9c unverified no licence file found · pointer only
Protein Representation Learning by Geometric Structure Pretraining 11 Mar 2022 deepgraphlearning/gearnet/script/downstream.py 81beaaea01060569 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections