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feat: rename CodeLionX to SebastianSchmidl (#2332)
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SebastianSchmidl authored Nov 10, 2024
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4 changes: 2 additions & 2 deletions .all-contributorsrc
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]
},
{
"login": "codelionx",
"login": "SebastianSchmidl",
"name": "Sebastian Schmidl",
"avatar_url": "https://avatars.githubusercontent.com/u/10573700?v=4",
"profile": "https://github.com/codelionx",
"profile": "https://github.com/SebastianSchmidl",
"contributions": [
"bug",
"code",
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4 changes: 2 additions & 2 deletions CODEOWNERS
Validating CODEOWNERS rules …
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# Only users with write access to the repository will be automatically added as
# reviewers and contacted.

aeon/anomaly_detection/ @CodeLionX @MatthewMiddlehurst
aeon/anomaly_detection/ @SebastianSchmidl @MatthewMiddlehurst

aeon/benchmarking/ @TonyBagnall @MatthewMiddlehurst @hadifawaz1999 @dguijo

Expand All @@ -17,7 +17,7 @@ aeon/distances/ @chrisholder @TonyBagnall

aeon/networks/ @hadifawaz1999

aeon/performance_metrics/anomaly_detection/ @codelionx @MatthewMiddlehurst
aeon/performance_metrics/anomaly_detection/ @SebastianSchmidl @MatthewMiddlehurst

aeon/regression/ @MatthewMiddlehurst @TonyBagnall @dguijo
aeon/regression/deep_learning @hadifawaz1999 @MatthewMiddlehurst @TonyBagnall @dguijo
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/_dwt_mlead.py
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"""DWT-MLEAD anomaly detector."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["DWT_MLEAD"]

import warnings
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/_kmeans.py
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@@ -1,6 +1,6 @@
"""k-Means anomaly detector."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["KMeansAD"]

from typing import Optional
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/_pyodadapter.py
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from __future__ import annotations

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["PyODAdapter"]

from typing import TYPE_CHECKING, Any
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/_stomp.py
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from __future__ import annotations

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["STOMP"]

import numpy as np
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/tests/test_dwt_mlead.py
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"""Tests for the DWT_MLEAD class."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]

import numpy as np
import pytest
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/tests/test_kmeans.py
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"""Tests for the KMeansAD class."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]

import numpy as np
import pytest
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/tests/test_pyod_adapter.py
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"""Tests for the PyODAdapter class."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]

import numpy as np
import pytest
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2 changes: 1 addition & 1 deletion aeon/anomaly_detection/tests/test_stomp.py
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"""Tests for the PyODAdapter class."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]

import numpy as np
import pytest
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2 changes: 1 addition & 1 deletion aeon/distances/_sbd.py
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"""Shape-based distance (SBD) between two time series."""

__maintainer__ = ["codelionx"]
__maintainer__ = ["SebastianSchmidl"]

from typing import Optional, Union

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2 changes: 1 addition & 1 deletion aeon/performance_metrics/anomaly_detection/_binary.py
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"""Metrics on binary predictions for anomaly detection."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["range_precision", "range_recall", "range_f_score"]

import warnings
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2 changes: 1 addition & 1 deletion aeon/performance_metrics/anomaly_detection/_continuous.py
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from __future__ import annotations

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = [
"roc_auc_score",
"pr_auc_score",
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2 changes: 1 addition & 1 deletion aeon/performance_metrics/anomaly_detection/_util.py
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"""Utility functions for anomaly detection performance metrics."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["check_y"]

import warnings
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2 changes: 1 addition & 1 deletion aeon/performance_metrics/anomaly_detection/_vus_metrics.py
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from __future__ import annotations

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = [
"range_pr_auc_score",
"range_roc_auc_score",
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2 changes: 1 addition & 1 deletion aeon/performance_metrics/anomaly_detection/thresholding.py
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from __future__ import annotations

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = [
"percentile_threshold",
"sigma_threshold",
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2 changes: 1 addition & 1 deletion aeon/utils/windowing.py
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"""Utility functions for creating and reversing sliding windows of time series data."""

__maintainer__ = ["CodeLionX"]
__maintainer__ = ["SebastianSchmidl"]
__all__ = ["sliding_windows", "reverse_windowing"]

from typing import Callable, Optional
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4 changes: 2 additions & 2 deletions docs/about/core_developers.md
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<p><a href='https://github.com/MatthewMiddlehurst'>Matthew Middlehurst</a></p>
</div>
<div>
<a href='https://github.com/CodeLionX'><img src='https://avatars.githubusercontent.com/u/10573700?v=4' class='avatar' /></a> <br />
<p><a href='https://github.com/CodeLionX'>Sebastian Schmidl</a></p>
<a href='https://github.com/SebastianSchmidl'><img src='https://avatars.githubusercontent.com/u/10573700?v=4' class='avatar' /></a> <br />
<p><a href='https://github.com/SebastianSchmidl'>Sebastian Schmidl</a></p>
</div>
<div>
<a href='https://github.com/patrickzib'><img src='https://avatars.githubusercontent.com/u/7783034?v=4' class='avatar' /></a> <br />
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30 changes: 15 additions & 15 deletions docs/changelogs/v0.10.md
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Expand Up @@ -6,8 +6,8 @@ July 2024

- Dropped support for Python 3.8
- Announcement of deprecations for v1.0.0, includes removal and rework of the current forecasting and transformation frameworks
- New anomaly detection methods: DWT-MLEAD, K-Means, and an adapter for PyOD ({user}`CodeLionX`)
- New data loaders for anomaly detection and segmentation benchmark archives ({user}`CodeLionX`, {user}`ermshaua`)
- New anomaly detection methods: DWT-MLEAD, K-Means, and an adapter for PyOD ({user}`SebastianSchmidl`)
- New data loaders for anomaly detection and segmentation benchmark archives ({user}`SebastianSchmidl`, {user}`ermshaua`)
- New Proximity Tree classifier using aeon distances, Proximity Forest to follow. ({user}`itsdivya1309`)
- New feature-based and dummy clusterers ({user}`MatthewMiddlehurst`, {user}`aadya940`)
- New FLUSS and BinSeg segmenters ({user}`patrickzib`)
Expand All @@ -17,18 +17,18 @@ July 2024

### Documentation

- [DOC] Improve anomaly detector documentation ({pr}`1647`) {user}`CodeLionX`
- [DOC] Improve anomaly detector documentation ({pr}`1647`) {user}`SebastianSchmidl`
- [DOC] added reference to docstring of MERLIN anomaly detection ({pr}`1707`) {user}`adm-unl`

### Enhancements

- [MNT] Move haar wavelet transform to aeon.utils.numba package ({pr}`1579`) {user}`CodeLionX`
- [MNT] Move haar wavelet transform to aeon.utils.numba package ({pr}`1579`) {user}`SebastianSchmidl`
- [ENH] Convert stray and add max iterations for MERLIN ({pr}`1571`) {user}`MatthewMiddlehurst`
- [ENH] DWT-MLEAD anomaly detection method ({pr}`1580`) {user}`CodeLionX`
- [ENH] Add sliding window utils for anomaly detection module ({pr}`1605`) {user}`CodeLionX`
- [ENH] K-Means anomaly detector ({pr}`1607`) {user}`CodeLionX`
- [ENH] Loader for TimeEval (anomaly detection) datasets ({pr}`1588`) {user}`CodeLionX`
- [ENH] Add PyOD adapter for anomaly detection ({pr}`1586`) {user}`CodeLionX`
- [ENH] DWT-MLEAD anomaly detection method ({pr}`1580`) {user}`SebastianSchmidl`
- [ENH] Add sliding window utils for anomaly detection module ({pr}`1605`) {user}`SebastianSchmidl`
- [ENH] K-Means anomaly detector ({pr}`1607`) {user}`SebastianSchmidl`
- [ENH] Loader for TimeEval (anomaly detection) datasets ({pr}`1588`) {user}`SebastianSchmidl`
- [ENH] Add PyOD adapter for anomaly detection ({pr}`1586`) {user}`SebastianSchmidl`

## Classification

Expand Down Expand Up @@ -79,11 +79,11 @@ July 2024

### Bug Fixes

- [BUG] Fix TSAD data loading tests and example notebooks ({pr}`1695`) {user}`CodeLionX`
- [BUG] Fix TSAD data loading tests and example notebooks ({pr}`1695`) {user}`SebastianSchmidl`

### Enhancements

- [ENH] Loader for TimeEval (anomaly detection) datasets ({pr}`1588`) {user}`CodeLionX`
- [ENH] Loader for TimeEval (anomaly detection) datasets ({pr}`1588`) {user}`SebastianSchmidl`
- [ENH] Time Series Segmentation Benchmark + Human Activity Segmentation Challenge data loaders ({pr}`1755`) {user}`ermshaua`

### Maintenance
Expand Down Expand Up @@ -195,13 +195,13 @@ index page for more information.

### Documentation

- [DOC] Add SlidingWindowSegmenter to API reference ({pr}`1600`) {user}`CodeLionX`
- [DOC] Add SlidingWindowSegmenter to API reference ({pr}`1600`) {user}`SebastianSchmidl`
- [Doc] Images for "Transformations" ({pr}`1736`) {user}`Abhash297`
- [DOC] Improve BaseCollectionTransformer docstrings ({pr}`1733`) {user}`TonyBagnall`

### Enhancements

- [MNT] Move haar wavelet transform to aeon.utils.numba package ({pr}`1579`) {user}`CodeLionX`
- [MNT] Move haar wavelet transform to aeon.utils.numba package ({pr}`1579`) {user}`SebastianSchmidl`
- [ENH] Lower Bounding Distances for SAX and SFA ({pr}`1622`) {user}`patrickzib`
- [ENH] `axis=1` function default and removal of axis class default for series transformation and segmentation ({pr}`1625`) {user}`MatthewMiddlehurst`
- [ENH] Remove two hard coded arrays from minirocket ({pr}`1698`) {user}`TonyBagnall`
Expand All @@ -215,7 +215,7 @@ index page for more information.

### Bug Fixes

- [BUG] Fix TSAD data loading tests and example notebooks ({pr}`1695`) {user}`CodeLionX`
- [BUG] Fix TSAD data loading tests and example notebooks ({pr}`1695`) {user}`SebastianSchmidl`
- [BUG] Use almost equal in random state testing of deep learning ({pr}`1773`) {user}`hadifawaz1999`

### Deprecation
Expand Down Expand Up @@ -295,7 +295,7 @@ The following have contributed to this release through a collective 107 GitHub P
{user}`adm-unl`,
{user}`baraline`,
{user}`chrisholder`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`ermshaua`,
{user}`futuer-szd`,
{user}`hadifawaz1999`,
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10 changes: 5 additions & 5 deletions docs/changelogs/v0.11.md
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Expand Up @@ -15,11 +15,11 @@ Reminder: This release will be the last 0.X minor release. Other than patches, t

### Documentation

- [ENH] Add performance metrics for anomaly detection (from TimeEval) ({pr}`1938`) {user}`CodeLionX`
- [ENH] Add performance metrics for anomaly detection (from TimeEval) ({pr}`1938`) {user}`SebastianSchmidl`

### Enhancements

- [ENH] Add performance metrics for anomaly detection (from TimeEval) ({pr}`1938`) {user}`CodeLionX`
- [ENH] Add performance metrics for anomaly detection (from TimeEval) ({pr}`1938`) {user}`SebastianSchmidl`
- [ENH] Add STOMP anomaly detector. ({pr}`2031`) {user}`wenig`

## Benchmarking
Expand Down Expand Up @@ -72,7 +72,7 @@ Reminder: This release will be the last 0.X minor release. Other than patches, t
The following have contributed to this release through a collective 11 GitHub Pull Requests:

{user}`baraline`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`Cyril-Meyer`,
{user}`dguijo`,
{user}`IRKnyazev`,
Expand All @@ -98,7 +98,7 @@ Reminder: This release will be the last 0.X minor release. Other than patches, t

### Enhancements

- [ENH/DOC] Unsupervised and semi-supervised usage of PyODAdapter ({pr}`1932`) {user}`CodeLionX`
- [ENH/DOC] Unsupervised and semi-supervised usage of PyODAdapter ({pr}`1932`) {user}`SebastianSchmidl`

## Classification

Expand Down Expand Up @@ -359,7 +359,7 @@ The following have contributed to this release through a collective 91 GitHub Pu
{user}`aryanpola`,
{user}`baraline`,
{user}`chrisholder`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`Cyril-Meyer`,
{user}`Datadote`,
{user}`dguijo`,
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8 changes: 4 additions & 4 deletions docs/changelogs/v0.7.md
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Expand Up @@ -6,7 +6,7 @@ March 2024

- Adds the `RIST`, `Hydra`, `MR-Hydra` and `QUANT` classifiers ({user}`MatthewMiddlehurst`)
- Adds the above for regression also, as well as `MLPRegressor`, `RDSTRegressor` and simple feature-based regressors ({user}`MatthewMiddlehurst`, {user}`aadya940` )
- Adds the `SBD` distance ({user}`CodeLionX`)
- Adds the `SBD` distance ({user}`SebastianSchmidl`)
- Website updates and improvements, including advertisement for GSoC 2024! ({user}`MatthewMiddlehurst`)

## Classification
Expand Down Expand Up @@ -48,7 +48,7 @@ March 2024

### Enhancements

- [ENH] Add implementation for sbd distance (from k-Shape) ({pr}`1231`) {user}`CodeLionX`
- [ENH] Add implementation for sbd distance (from k-Shape) ({pr}`1231`) {user}`SebastianSchmidl`

## Forecasting

Expand Down Expand Up @@ -113,7 +113,7 @@ March 2024

### Bug Fixes

- [BUG] Fix registry.all_estimators() function if pytest is not installed ({pr}`1236`) {user}`CodeLionX`
- [BUG] Fix registry.all_estimators() function if pytest is not installed ({pr}`1236`) {user}`SebastianSchmidl`

### Documentation

Expand Down Expand Up @@ -152,7 +152,7 @@ The following have contributed to this release through a collective 42 GitHub Pu
{user}`AnonymousCodes911`,
{user}`baraline`,
{user}`chrisholder`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`hadifawaz1999`,
{user}`itsdivya1309`,
{user}`MatthewMiddlehurst`,
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8 changes: 4 additions & 4 deletions docs/changelogs/v0.8.md
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Expand Up @@ -199,7 +199,7 @@ April 2024
- The following deep learners are now available for regression: `IndividualLITERegressor`, `LITETimeRegressor` and `EncoderRegressor` (({user}`aadya940`) & {user}`AnonymousCodes911`)
- The `HydraRegressor` and `MultiRocketHydraRegressor` algorithms have been implemented for regression module ({user}`MatthewMiddlehurst`)
- A wrapper for the `tslearn` `LearningShapelets` classifier has been added ({user}`itsdivya1309`)
- Support for unequal length in pairwise distance calculation for the SBD and MSM distances is now available, this will be expanded to other distances in time ({user}`CodeLionX`)
- Support for unequal length in pairwise distance calculation for the SBD and MSM distances is now available, this will be expanded to other distances in time ({user}`SebastianSchmidl`)

## Benchmarking

Expand Down Expand Up @@ -278,7 +278,7 @@ April 2024

### Enhancements

- [ENH] SBD and MSM: Support pairwise distance calculation for unequal length time series ({pr}`1287`) {user}`CodeLionX`
- [ENH] SBD and MSM: Support pairwise distance calculation for unequal length time series ({pr}`1287`) {user}`SebastianSchmidl`
- [ENH] Capability to use shape-dtw on precomputed transformation ({pr}`1323`) {user}`hadifawaz1999`

### Maintenance
Expand Down Expand Up @@ -381,7 +381,7 @@ April 2024

- [MNT] Refactored any occurrence of '_instances' to '_cases'. 'series_length' to 'n_timepoints' and 'n_dims' to 'n_channels' ({pr}`1304`) {user}`chrisholder`
- [MNT] Changes to `pyarrow` and `dask` in `all_extras` to fix CI ({pr}`1309`) {user}`MatthewMiddlehurst`
- [MNT] Cleanup code in aeon.util.conversion module ({pr}`1289`) {user}`CodeLionX`
- [MNT] Cleanup code in aeon.util.conversion module ({pr}`1289`) {user}`SebastianSchmidl`
- [MNT] Add new dependency: typing-extensions ({pr}`1327`) {user}`chrisholder`

### Refactored
Expand All @@ -395,7 +395,7 @@ The following have contributed to this release through a collective 58 GitHub Pu
{user}`aadya940`,
{user}`AnonymousCodes911`,
{user}`chrisholder`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`hadifawaz1999`,
{user}`harshithasudhakar`,
{user}`itsdivya1309`,
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2 changes: 1 addition & 1 deletion docs/changelogs/v0.9.md
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Expand Up @@ -183,7 +183,7 @@ The following have contributed to this release through a collective 55 GitHub Pu
{user}`AnonymousCodes911`,
{user}`baraline`,
{user}`chrisholder`,
{user}`CodeLionX`,
{user}`SebastianSchmidl`,
{user}`hadifawaz1999`,
{user}`itsdivya1309`,
{user}`jasonmokk`,
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