Check for least populated class having minimum number of samples for successful training.
Exception in thread Thread-19:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/threading.py", line 954, in _bootstrap_inner
self.run()
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/threading.py", line 892, in run
self._target(*self._args, **self._kwargs)
File "/Users/jandersen/Downloads/niclassify-main2/niclassify/tkgui/clftool.py", line 1122, in _train_classifier
self.sp.train_AC(features, metadata, status_cb)
File "/Users/jandersen/Downloads/niclassify-main2/niclassify/core/StandardProgram.py", line 1270, in train_AC
self.clf.train(
File "/Users/jandersen/Downloads/niclassify-main2/niclassify/core/classifiers.py", line 331, in train
x_train, x_test, y_train, y_test = self._get_test_train_splits(
File "/Users/jandersen/Downloads/niclassify-main2/niclassify/core/classifiers.py", line 138, in _get_test_train_splits
x_train, x_test, y_train, y_test = train_test_split(
File "/Users/jandersen/Downloads/niclassify-main2/niclassifyenv/lib/python3.9/site-packages/scikit_learn-0.24.0rc1-py3.9-macosx-10.9-x86_64.egg/sklearn/model_selection/_split.py", line 2197, in train_test_split
train, test = next(cv.split(X=arrays[0], y=stratify))
File "/Users/jandersen/Downloads/niclassify-main2/niclassifyenv/lib/python3.9/site-packages/scikit_learn-0.24.0rc1-py3.9-macosx-10.9-x86_64.egg/sklearn/model_selection/_split.py", line 1387, in split
for train, test in self._iter_indices(X, y, groups):
File "/Users/jandersen/Downloads/niclassify-main2/niclassifyenv/lib/python3.9/site-packages/scikit_learn-0.24.0rc1-py3.9-macosx-10.9-x86_64.egg/sklearn/model_selection/_split.py", line 1715, in _iter_indices
raise ValueError("The least populated class in y has only 1"
ValueError: The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2.
Check for least populated class having minimum number of samples for successful training.