-
Can you please tell us how could we use KAN for binary classification task, i.e., for e.g., classification of dogs and cats images ?
or how do it takes an input of one single dimension array ???
-
I have created a binary classification model using KAN, and got accuracy of 1., and now I decided to try the interpretability feature, and used the symbolic_formula, adn tried to get the accuracy to o…
-
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 …
-
## Description
Many tests succeed, but then they fail to find the file examples/binary_classification/binary.test:
```
[==========] Running 30 tests from 8 test suites.
[----------] Global test …
-
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…
-
## Description
The scikit-learn interface throws an error when used with `objective="multiclass"` for a binary classification task.
## Reproducible example
```python
import numpy as np
impo…
-
**Describe the bug**
I'm having a runtimeError problem when running the training cell.
I'm using a dataset whose target is binary.
splitting randomly.
I'm not sure if this is a bug, but I was…
-
Thanks for the nice package! It fosters research in different aspects of AutoML!
However, I am curious about the expected behavior when loading the predictions for binary classification tasks (e.g.…
-
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
5 months ago
-
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 …