GitHub

TfidfVectorizer's dtype seems to fail: "Array of type 'float' required. Array of type 'char' given"

from sklearn.feature_extraction.text import TfidfVectorizer import numpy model = TfidfVectorizer(dtype=numpy.float16) model.fit(['foo', 'bar', 'yes', 'no go', 'move ...
GitHub

Tfidfvectorizer with sublinear_tf fails, despite opset version set to greater than 11

Traceback (most recent call last): File "/app/test.py", line 47, in <module> onnxModelPipeline = convert_sklearn(modelPipeline, "tfidf", initial_types=[("input ...