public static Task <double[, ]> VectorizeDocumentsTFIDF(IEnumerable <string> documents)
{
return(Task.Run(() =>
{
try
{
using (Py.GIL())
{
dynamic sklear_feature_extraction_text = Py.Import("sklearn.feature_extraction.text");
dynamic tfidfVectorizer = sklear_feature_extraction_text.TfidfVectorizer();
dynamic countMatrixObject = tfidfVectorizer.fit_transform(documents);
PyList countMatrix = PyList.AsList(countMatrixObject.toarray());
var matrix = (double[][])countMatrix.AsManagedObject(typeof(double[][]));
return ConvertMatrix(matrix);
}
}
catch (PythonException e)
{
if (e.Message.Contains("NoneType"))
{
return new double[0, 0];
}
else
{
throw e;
}
}
}));
}
