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plot_confusion_matrix

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

plot_confusion_matrix appears in the code Syntology harvested for 11 papers, as 9 distinct code bodies found in 11 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 plot_confusion_matrix 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 9 distinct code bodies named plot_confusion_matrix; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 11 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

11 papers shown of 11, newest first; 11 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, and the graph's for 1 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings added by Syntology 2026-03 (from id) ramiluisto/CuriousSwirl/semsim/plots.py 2523a48b4c15f71f unverified MIT (permissive)
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning 11 Dec 2023 zhongdy15/npm/min_red/mf_model_trainer.py 45aa96ce584544fa ran no licence file found · pointer only
Decoupled Training for Long-Tailed Classification With Stochastic Representations 19 Apr 2023 kaidic/LDAM-DRW/utils.py e5ce72a1e8d9bc22 unverified MIT (permissive)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective 6 Nov 2021 XuZhengzhuo/Prior-LT/utils.py 46490b0cfc522d35 unverified MIT (permissive)
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss 18 Jun 2019 ihaeyong/maximum-margin-ldam/utils.py e5ce72a1e8d9bc22 unverified MIT (permissive)
A recurrent neural network for classification of unevenly sampled variable stars 2017-11 (from id) bthtsang/DeepClassifierNoveltyDetection/classify_noveltydetect.py 8435d01194c988f9 unverified MIT (permissive)
Photometric Supernova Classification With Machine Learning 2016-03 (from id) LSSTDESC/snmachine/snmachine/analysis.py 88da824ebaae134c unverified BSD-3-Clause (permissive)
"Why Should I Trust You?": Explaining the Predictions of Any Classifier 16 Feb 2016 aildnont/HIFIS-model/src/visualization/visualize.py d83a0853d1cf871a unverified MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 pharikal/Breast-Cancer-Detection-Using-Deep-Learning/DCGAN.py 6738e73abbfabfa8 unverified no licence file found · pointer only
How far can we go without convolution: Improving fully-connected networks 9 Nov 2015 AvocadoAlpha/boltz_bo/boltzmann_machines/utils/plot_utils.py 520feb68778834ef unverified MIT (permissive)
arXiv:Chen_AREA_Adaptive_Reweighting_via_Effective_Area_for_Long-Tailed_Classification_ICCV_2023_paper xiaohua-chen/AREA/utils.py e5ce72a1e8d9bc22 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".

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