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[ENH] Deprecate PLAID dataset #2928

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[ENH] Deprecate PLAID dataset #2928

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4e6f5d1
remove PLAID
TonyBagnall Jul 4, 2025
f588e00
remove PLAID
TonyBagnall Jul 4, 2025
bfb636d
Merge branch 'main' into ajb/plaid
TonyBagnall Jul 12, 2025
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2 changes: 0 additions & 2 deletions aeon/datasets/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,6 @@
"load_italy_power_demand",
"load_japanese_vowels",
"load_pickup_gesture_wiimoteZ",
"load_plaid",
"load_longley",
"load_lynx",
"load_shampoo_sales",
Expand Down Expand Up @@ -76,7 +75,6 @@
load_osuleaf,
load_PBS_dataset,
load_pickup_gesture_wiimoteZ,
load_plaid,
load_shampoo_sales,
load_solar,
load_unit_test,
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44 changes: 0 additions & 44 deletions aeon/datasets/_single_problem_loaders.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,6 @@
__maintainer__ = []
__all__ = [
"load_airline",
"load_plaid",
"load_arrow_head",
"load_gunpoint",
"load_osuleaf",
Expand All @@ -28,7 +27,6 @@

import numpy as np
import pandas as pd
from deprecated.sphinx import deprecated

from aeon.datasets import load_from_tsf_file
from aeon.datasets._data_loaders import _load_saved_dataset, _load_tsc_dataset
Expand Down Expand Up @@ -379,48 +377,6 @@ def load_pickup_gesture_wiimoteZ(split=None):
return _load_tsc_dataset("PickupGestureWiimoteZ", split, return_type="np-list")


# TODO: remove in v1.3.0
@deprecated(
version="1.2.0",
reason="load_plaid and the PLAID dataset will be removed in version 1.3. It has "
"been replaced by a smaller unequal length univariate problem "
"PickupGestureWiimoteZ.",
category=FutureWarning,
)
def load_plaid(split=None):
"""Load the PLAID univariate time series classification problem.

Example of a univariate problem with unequal length time series.

Parameters
----------
split: None or one of "TRAIN", "TEST", default=None
Whether to load the train or test instances of the problem. By default it
loads both train and test instances into a single array.

Returns
-------
X: list of 2D np.ndarray, one for each series.
y: 1D numpy array of length len(X). The class labels for each time series
instance in X.

Notes
-----
Dimensionality: univariate
Series length: variable
Train cases: 537
Test cases: 537
Number of classes: 2
Details: https://timeseriesclassification.com/description.php?Dataset=PLAID

Examples
--------
>>> from aeon.datasets import load_plaid
>>> X, y = load_plaid()
"""
return _load_tsc_dataset("PLAID", split, return_type="np-list")


def load_japanese_vowels(split=None):
"""Load the JapaneseVowels time series classification problem.

Expand Down
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