ValidationError in fuzzy-c-means

Question

I have tried to run in both jupyter notebook and colab but still getting this error for fcmeans. But it's working fine in different laptop. This is the code used to split dataset

# Stratified Sampling using Scikit-learn's Stratified Shuffle Split Class
from sklearn.model_selection import StratifiedShuffleSplit

split = StratifiedShuffleSplit(n_splits=1, test_size=0.25, random_state=42)

for train_index, test_index in split.split(data1, data1["class"]):
    strat_train_set = data1.loc[train_index]

    strat_test_set = data1.loc[test_index]
    train_set = strat_train_set.drop("class", axis=1) # drop labels for training set

train_labels = strat_train_set["class"].copy()
test_set = strat_test_set.drop("class", axis=1) # drop labels for testing set
test_labels = strat_test_set["class"].copy()

What am I missing here then?

Answer 1

The problem here is that, tr_set is not an numpy.ndarray. So all you need to do is pass the dataframe as numpy array.

In your case if use to_numpy function before passing the data to fit (like this fcm.fit(tr_set.to_numpy())) it would work.

This was pretty clear from the fcm documentation.