change default sparse_threshold to 0 in TableVectorizer #646
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which means that the output is always dense. I don't know which is better between this and a small value (like 0.01 or 0.05). Right now it is 0.3, which means that a simple pipeline TableVectorizer-->HistGradientBoostingClassifier often breaks when experimenting.