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Hi @Jianguo99,
I am new to conformal prediction, and I have a multitask, multi-output model that performs both classification and regression for a specific problem. Is it possible to use this kind …
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My target variable is a binary label containing two variables, such as backed clay and unbacked clay. My question is, I didn't find the option to plot feature importance figures separately for both cl…
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hi,dear
as a poor learner for FM/FFM,
wanna know the classification only has 2 classes ?? also see the [demo](https://github.com/aksnzhy/xlearn/blob/master/demo/classification/scikit_learn_demo/exam…
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How can we use camera for Binary classification with sigmoid as output?
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Currently "objective" parameter for the `XGBoostClassifier ` is limited to "reg:squarederror", "reg:tweedie", "reg:linear", "reg:logistic", "binary:logistic", "binary:logitraw". And these values are …
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After messing around, I could not use the package on my case. So I tried to run locally your your binary classification example from here: https://deeptables.readthedocs.io/en/latest/examples.html#bin…
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When I am working with binary data for Y, the model does not work.
Any idea why? It seems that the error is happening to nnet.
![image](https://user-images.githubusercontent.com/58057840/87657270-2f…
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Hi, trying to solve a binary classification problem with these movinets and was wondering how I would go about creating a MoVinet with some augmentation with the aim of reducing the TFLOPS required an…
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Those adversarial gradients seem quite promising to get rid of this arbitrary baseline.
However, in the case of binary classification, would this method be relevant? There would be only one adversa…
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Hi maintainers,
I am using [`HyperResNet`](https://github.com/keras-team/keras-tuner/blob/1.1.3/keras_tuner/applications/resnet.py#L25) for a binary classification problem, and ended up subclassing…