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Can it be used with Binary classification problem?
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Problem Description:
Predict customer churn to help businesses retain customers and reduce revenue loss.
Model Description:
Logistic Regression or Random Forest Classifier. These models are suita…
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If we make the fine_grain False, it performs the binary classification. But with binary, I can see there are three labels 0, 1, 2. So is it really a binary task?
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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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# Context
The purpose of this ticket is to implement the reading of classification masks from the CLI.
# New Configuration
```toml
[inputs]
[inputs.classification]
path = "path/to/file"
des…
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There has been some community appetite for classification tasks #1249 #1124. Incidentally, due to the use of classification models for RLHF, we already have some of the necessary components to support…
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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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Hello! Has anyone run the KAN network in a relatively large tabular dataset for regression or classification? If yes, could you share the code or give instructions to avoid memory issues?
Thanks …
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Hello,
First, I would like to express my appreciation for the CatBoost library; it has been a fantastic tool for numerous machine learning tasks. However, I've encountered an encoding anomaly with …
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Right now we basically only support binary classification. This is ok for now, but we could aim to support more complex tasks:
- [ ] Ordinal regression
- [ ] Multi-class classification
- [ ] Mul…