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Description
Describe the bug
I'm trying to run a cross validation using ProximityStump classifier, but I get this error.
I was looking at the code and I guess that the problem is at this line:
https://github.com/alan-turing-institute/sktime/blob/3f132219e5217ba3dba4b0237f15ea847a84d5f5/sktime/classification/distance_based/_proximity_forest.py#L814
The "name" get_exemplars is replaced to pick_exemplars. Should it be changed?
Looking at ProximityTree it stays as it is:
https://github.com/alan-turing-institute/sktime/blob/3f132219e5217ba3dba4b0237f15ea847a84d5f5/sktime/classification/distance_based/_proximity_forest.py#L1061
To Reproduce
from sklearn.model_selection import cross_val_predict
cross_val_predict(base_model, X, y, cv=..., ...)I am using ProximityStump as "base_model". X and y are from Chinatown dataset.
Expected behavior
It should work as fine as other sktime classifiers - ProximityForest and ProximityTree work great!
Additional context
I am working alongside Prof. Diego Furtado Silva in a project about Meta-Learning.
Versions
Details
pip: 20.0.2
setuptools: 44.0.0
sklearn: 0.24.0
sktime: 0.5.1
statsmodels: 0.12.1
numpy: 1.19.4
scipy: 1.6.0
Cython: None
pandas: 1.2.0
matplotlib: None
joblib: 1.0.0
numba: 0.52.0
pmdarima: None
tsfresh: None