Create a TF-IDF vectorizer from a given list of texts. **Example:** For the texts ['hello world', 'hello'], the output should be a matrix with TF-IDF values. **Constraints:** 1 <= num_texts <= 10, text length <= 100.
Test Cases
Test Case 1
Input:
['hello world', 'hello']Expected:
[[1.0, 1.0], [1.0, 0.0]]Test Case 2
Input:
['this is a test', 'this is a test']Expected:
[[1.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0]]+ 3 hidden test cases