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mape

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

mape appears in the code Syntology harvested for 10 papers, as 9 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 3 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 mape 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 3 of the 9 distinct code bodies named mape; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
1ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
6unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 10 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

10 papers shown of 10, newest first; 10 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 3 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
Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets added by Syntology 2026-09 (from id) Kimalice/Toward-Explainable-and-Policy-Aware-AI-for-Carbon-Credit-Price-Prediction/paxcarbonnet/metrics.py 67b14f55d8ed695d unverified licence not identified · pointer only
An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting added by Syntology 2026-08 (from id) behnazkavoosi/Energy-Time-Series-Library/compute_metrics.py ef459726ef257947 ran fingerprinted MIT (permissive)
Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization added by Syntology 2026-01 (from id) Laixin233/-Reinforced-Encoder/task/metric.py 885bbfff5614ce61 unverified no licence file found · pointer only
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity 2025-03 (from id) zhuwei321/SMTPD/utils.py d625b0d73ff5f604 unverified Apache-2.0 (permissive)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks 24 Sep 2020 jinglingli/nn-extrapolate/feedforward/MLPs.py e570468b6f81a89c ran · honoured contract fingerprinted no licence file found · pointer only
Hypersolvers: Toward Fast Continuous-Depth Models 19 Jul 2020 DiffEqML/diffeqml-research/hypersolvers-control/src/utils.py 036472db72b08a56 unverified Apache-2.0 (permissive)
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction 25 Mar 2020 lucasthim/auto-fuzzy/autoMFIS/changeParameterAutoMFIS.py 17d533ffea6cedc9 unverified BSD-2-Clause (permissive)
Deep and Confident Prediction for Time Series at Uber 6 Sep 2017 identical code first harvested elsewhere 0925b30ca046f87b ran · violated contract fingerprinted licence of this copy not recorded
Unsupervised Learning of Video Representations using LSTMs 16 Feb 2015 ManjunathAdi/Seq2Seq_RNN/RNN_Sequence2seq_Feature-extraction.py 0925b30ca046f87b ran · violated contract fingerprinted no licence file found · pointer only
arXiv:aaai_33789 dingyanna/LC-GODE/util_tmp.py 4e2c1a23a8a747f9 unverified Apache-2.0 (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