[Feature Request]: Support for Scipy Sparse Matrices in XGBoost Classifier

[muzakkirhussain011]

Description: The current implementation of the XGBoost classifier in the Ivy library does not appear to support Scipy sparse matrices. This feature would be beneficial for handling large, sparse datasets efficiently.

Suggested Implementation: I propose adding support for Scipy sparse matrix inputs to the XGBoost classifier within the Ivy library. This would involve ensuring compatibility with Scipy’s CSR or CSC matrix formats.

Benefits:

Enables the use of sparse data representations, reducing memory usage and potentially improving computational performance.

Aligns the Ivy library’s XGBoost classifier with other machine learning frameworks that already support sparse matrices.