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During training, whether the labels of the unlabelled data is used for training? #5

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Jappy0 opened this issue Dec 18, 2021 · 2 comments

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@Jappy0
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Jappy0 commented Dec 18, 2021

Hi,

SSDKL is an excellent for semi-supervised learning. I want to apply this method to solve my problem. However, I have a question about the unlabelled data.

In SSDKL, the labelled data was divided into training, validating, testing and unlabelled data. In my understanding, the label (target values) of the unlabelled section should not be fed into the training model. However, from the functions of "def _setup_nns(self):" and "def _compute_embeddings(self, sess):", the label "self.y_unlabeled" is also an input for NN training. Since my data contains real unlabelled data without any labells, if so, it seems that I cannot adapt my data to the SSDKL method directly.

Did I understand right?

Thanks for your help~

Best regards,

Jappy

@sangmichaelxie
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sangmichaelxie commented Dec 18, 2021 via email

@Jappy0
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Jappy0 commented Dec 18, 2021

Thanks so much~

@Jappy0 Jappy0 closed this as completed Dec 18, 2021
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