Limit sklearn version

hiclass/BinaryPolicy.py

@@ -2,7 +2,7 @@
 
 from abc import ABC
 
-from scipy.sparse import vstack, csr_matrix
+from scipy.sparse import vstack, csr_matrix, csr_array
 import networkx as nx
 import numpy as np
 
@@ -160,7 +160,7 @@ def get_binary_examples(self, node) -> tuple:
             )
             y = np.zeros(len(X))
             y[: len(positive_x)] = 1
-        elif isinstance(self.X, csr_matrix):
+        elif isinstance(self.X, csr_matrix) or isinstance(self.X, csr_array):
             X = vstack([positive_x, negative_x])
             sample_weights = (
                 vstack([positive_weights, negative_weights])

setup.py

@@ -27,7 +27,7 @@
 KEYWORDS = ["hierarchical classification"]
 DACS_SOFTWARE = "https://gitlab.com/dacs-hpi"
 # What packages are required for this module to be executed?
-REQUIRED = ["networkx", "numpy", "scikit-learn", "scipy<1.13"]
+REQUIRED = ["networkx", "numpy", "scikit-learn<1.5", "scipy<1.13"]
 
 # What packages are optional?
 # 'fancy feature': ['django'],}