Martin Tveten, Johannes Kolstø, Per August, Jarval Moen
We lifted 18 functions out of this paper's own repositories and ran 7 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| NorskRegnesentral/skchange | canonical | 4 of 15 |
| NorskRegnesentral/change-point-benchmark | canonical | 3 of 3 |
| Function | Status | Where it lives |
|---|---|---|
| check_random_generator | Ran | NorskRegnesentral/skchange/skchange/datasets/_utils.py code served (permissive licence) · get_code("65e9cdd140ddcdbb") |
| check_segment_lengths | Ran | NorskRegnesentral/skchange/skchange/datasets/_utils.py code served (permissive licence) · get_code("cc8b62725c8d5d9c") |
| find_repo_root | Ran | NorskRegnesentral/change-point-benchmark/src/change_bench/paths.py pointer only (licence: NONE) · get_code("7627c883ecac4153") |
| get_n_variables | Ran | NorskRegnesentral/skchange/skchange/datasets/_generate_normal.py code served (permissive licence) · get_code("31eae627be50ede8") |
| latest_result_path | Ran | NorskRegnesentral/change-point-benchmark/src/change_bench/paths.py pointer only (licence: NONE) · get_code("6c0b0d3cff4aa450") |
| recycle_list | Ran | NorskRegnesentral/skchange/skchange/datasets/_utils.py code served (permissive licence) · get_code("4b3cd97c7142e071") |
| result_date | Ran | NorskRegnesentral/change-point-benchmark/src/change_bench/paths.py pointer only (licence: NONE) · get_code("f909cad74c5045d6") |
| generate_continuous_piecewise_linear_data | Not yet run | NorskRegnesentral/skchange/skchange/datasets/_generate_linear_trend.py code served (permissive licence) · get_code("202b5f03a1470cae") |
| generate_piecewise_data | Not yet run | NorskRegnesentral/skchange/skchange/datasets/_generate.py code served (permissive licence) · get_code("d3a86d27b9b6e57a") |
| generate_piecewise_normal_data | Not yet run | NorskRegnesentral/skchange/skchange/datasets/_generate_normal.py code served (permissive licence) · get_code("18dae5d0f3fd3ff2") |
| generate_piecewise_regression_data | Not yet run | NorskRegnesentral/skchange/skchange/datasets/_generate_regression.py code served (permissive licence) · get_code("abb6641005dfa0ac") |
| is_change_detector | Not yet run | NorskRegnesentral/skchange/skchange/detectors/_base.py code served (permissive licence) · get_code("24b6e4192929c392") |
| is_change_score | Not yet run | NorskRegnesentral/skchange/skchange/interval_scorers/_base.py code served (permissive licence) · get_code("3f9ed6c28db376f0") |
| is_cost | Not yet run | NorskRegnesentral/skchange/skchange/interval_scorers/_base.py code served (permissive licence) · get_code("2558b0d16025cb4d") |
| is_saving | Not yet run | NorskRegnesentral/skchange/skchange/interval_scorers/_base.py code served (permissive licence) · get_code("ff284f19db5493f6") |
| load_hvac_system_data | Not yet run | NorskRegnesentral/skchange/skchange/datasets/_data_loaders.py code served (permissive licence) · get_code("1dfb050bb0457458") |
| resolve_sampler | Not yet run | NorskRegnesentral/skchange/skchange/tuning/_null_models.py code served (permissive licence) · get_code("fe8663e999e3240f") |
| sampler_requires_data | Not yet run | NorskRegnesentral/skchange/skchange/tuning/_null_models.py code served (permissive licence) · get_code("0beffbfc2c7f1556") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Skchange is an open-source Python library for detecting structural changes in time series. It implements modern change detection algorithms within a unified and extensible framework. The algorithms are modular and composable, and they include changepoint search methods based on both cost minimisation and statistical tests. Key features include the detection of anomalous segments in addition to changepoints; theoretically well-founded fast and approximate search methods; theoretically well-founded algorithms for high-dimensional data, covering settings where either few or many features change simultaneously; utilities for automatic and data-driven penalty calibration, which balances false alarms against missed detections; and a large collection of built-in costs and statistical tests. The design follows established scikit-learn conventions to streamline both user and contributor experience, and Numba is used extensively to achieve high computational performance. Source code and documentation are available at https://github.com/NorskRegnesentral/skchange.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2608.19767")
get_code_for_paper("2608.19767")
have("2608.19767")
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