Is the numpy version of the dependency specified?

[Kelvin-CADD]

File ~/.conda/envs/classifier/lib/python3.9/site-packages/deepforest/forest.py:566, in ForestClassifier.validate_y_class_weight(self, y)
563 self.classes = []
564 self.n_classes_ = []
--> 566 y_store_unique_indices = np.zeros(y.shape, dtype=np.int)
567 for k in range(self.n_outputs_):
568 classes_k, y_store_unique_indices[:, k] = np.unique(
569 y[:, k], return_inverse=True
570 )

File ~/.conda/envs/classifier/lib/python3.9/site-packages/numpy/init.py:324, in getattr(attr)
319 warnings.warn(
320 f"In the future np.{attr} will be defined as the "
321 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
323 if attr in former_attrs:
--> 324 raise AttributeError(former_attrs[attr])
326 if attr == 'testing':
327 import numpy.testing as testing

AttributeError: module 'numpy' has no attribute 'int'.
np.int was a deprecated alias for the builtin int. To avoid this error in existing code, use int by itself. Doing this will not modify any behavior and is safe. When replacing np.int, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

[Zsilence-Jason]

If your numpy version is 1.24 and you need to lower the numpy version, you can use numpy=1.22