[DOC] Rework getting started guide and single problem forecasting loaders

aeon/anomaly_detection/_stray.py

@@ -66,13 +66,10 @@ class STRAY(BaseAnomalyDetector):
     --------
     >>> from aeon.anomaly_detection import STRAY
     >>> from aeon.datasets import load_airline
-    >>> from sklearn.preprocessing import MinMaxScaler
     >>> import numpy as np
-    >>> X = load_airline().to_frame().to_numpy()
-    >>> scaler = MinMaxScaler()
-    >>> X = scaler.fit_transform(X)
+    >>> X = load_airline()
     >>> detector = STRAY(k=3)
-    >>> y = detector.fit_predict(X, axis=0)
+    >>> y = detector.fit_predict(X)
     >>> y[:5]
     array([False, False, False, False, False])
     """

aeon/datasets/__init__.py

@@ -36,7 +36,6 @@
     "load_gun_point_segmentation",
     "load_electric_devices_segmentation",
     "load_acsf1",
-    "load_macroeconomic",
     "load_unit_test_tsf",
     "load_solar",
     "load_cardano_sentiment",
@@ -73,7 +72,6 @@
     load_japanese_vowels,
     load_longley,
     load_lynx,
-    load_macroeconomic,
     load_osuleaf,
     load_PBS_dataset,
     load_plaid,