Description
Describe the bug
When you fit an SVC with the probability=True parameter and while also passing class_weights, the predictions seem to not be using the class weights.
# python/cuml/svm/svc.pyx
def _fit_proba(self, X, y, samle_weight) -> "SVC":
#....
with cuml.internals.exit_internal_api():
self.prob_svc.fit(X, y) # This should use sample weight
self._fit_status_ = 0
return self
I looked at the code for the fit_proba function of the SVC and it seems like it's caused by the sample_weight param not being passed on. I went ahead and created a PR for this: #5912
Steps/Code to reproduce bug
Train an SVM with probability=True and class weights (or class_weight=balanced) for an unbalanced dataset, and you will see that it performs the same regardless of whether you pass in class weights or not.
Expected behavior
It should behave like the other classifiers and use the class_weights during fitting.
Environment details (please complete the following information):
- Environment location: Bare-metal
- Linux Distro/Architecture: Debian 12
- GPU Model/Driver: NVIDIA GeForce RTX 2080 Ti / 550.54.14
- CUDA: 12.4
- Method of cuDF & cuML install: Source
- cudf-cu12, version 24.4.1
- cuml-cu12, version 24.4.0
Additional Info
While writing this I noticed that the param is wrongly named 'samle_weight' so my PR wouldn't work, will change later.
Later Edit: Fixed the typo