When using (for example) the following transformators

• CountVectorizer
• TruncatedSVD
• SelectKBest

with GridSearchCV it happens that it chooses a number for n_features for CountVectorizer that is less than n_components for TruncatedSVD or k for SelectKBest.

This leads to an error: ValueError: n_components must be < n_features

For SelectKBest I found a temporary solution:

class SelectAtMostKBest(SelectKBest):
    def _check_params(self, X, y):
        if not (self.k == "all" or 0 <= self.k <= X.shape[1]):
            self.k = "all"

But there is no equivalent for TruncatedSVD.
Is this behaviour intended? If yes, what can I do about this?