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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### W…
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Hello, I am using autoML to perform a binary classification task. Would someone be able to advise me on how I could create a visual similar to the mean feature importance chart but that also displays …
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I use sentiment analysis with bert, however it is multiclass classification, how to change for binary class text classification.
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Hello, I noticed that in the slide level fine-tuning implementation, the `CrossEntropyLoss` loss function and the `Softmax` activation function are used in binary classification. This seems to be diff…
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Hi, thanks for sharing your work and they are great!
Here I have a binary classification task with labels 0 and 1 by embeddings of two sentences, may I ask if should I use SoftmaxLoss for this bina…
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How to convert a binary classification to a multiclassification problem?
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It seems only multiclass classification is supported as I see:
`assert type_of_target(y) == "multiclass"
`
in classification.py. Seems to me that binary classification could also be supported wi…
jrash updated
6 months ago
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Thanks for the great work.
With CamVid data set I get the results as expected.
However, I am working with images with binary labels.
Every thing except the number of classes is the same as the C…
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- Binary Label Encoding -> 0 / 1
- linear regression 쓰면, hypothesis 가 간단하지만, hypothesis는 1보다 크고, 보다 작을 수 있어.
- 하지만 우리는 0, 1 사이의 데이터 원해 => **logistic**