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I make sure that the train, dev and test tsv file has only these arrays of zeros and ones. (using grep) However, I am getting the predicted label all zeros. Can you tell me what is likely to cause this strange result. Thanks.
The text was updated successfully, but these errors were encountered:
Hi, I create a dataset with the following categories:
classDict = {"text/dokujo-tsushin": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001",
"text/it-life-hack": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010",
"text/kaden-channel": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100",
"text/livedoor-homme": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000",
"text/movie-enter": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000010000",
"text/peachy": "000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000",
"text/smax": "000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000",
"text/sports-watch": "000000000000000000000000000000000000000000000000000000000000000000000000000000000010000000",
"text/topic-news": "000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000"}
I make sure that the train, dev and test tsv file has only these arrays of zeros and ones. (using grep) However, I am getting the predicted label all zeros. Can you tell me what is likely to cause this strange result. Thanks.
The text was updated successfully, but these errors were encountered: