With numpy>=1.24, np.int is deprecated

[saiwing-yeung]

Problem: With numpy>=1.24, np.int is deprecated but still used in catboost
catboost version: 1.2
Operating System: Debian
CPU: Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
GPU: not used

MWE: Using the example from https://catboost.ai/en/docs/concepts/python-usages-examples

from catboost import CatBoostRegressor
# Initialize data

train_data = [[1, 4, 5, 6],
              [4, 5, 6, 7],
              [30, 40, 50, 60]]

eval_data = [[2, 4, 6, 8],
             [1, 4, 50, 60]]

train_labels = [10, 20, 30]
# Initialize CatBoostRegressor
model = CatBoostRegressor(iterations=2,
                          learning_rate=1,
                          depth=2)
# Fit model
model.fit(train_data, train_labels)
# Get predictions
preds = model.predict(eval_data)
preds

This all works.

But model.calc_feature_statistics(train_data, train_labels) would return:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [2], in <cell line: 1>()
----> 1 model.calc_feature_statistics(train_data, train_labels)

File /opt/my_dir/.venv/lib/python3.9/site-packages/catboost/core.py:3801, in CatBoost.calc_feature_statistics(self, data, target, feature, prediction_type, cat_feature_values, plot, max_cat_features_on_plot, thread_count, plot_file)
   3799         float_features_nums.append(feature_internal_index)
   3800         feature_type_mapper.append('float')
-> 3801 results = [self._object._get_binarized_statistics(
   3802     data_item,
   3803     cat_features_nums,
   3804     float_features_nums,
   3805     prediction_type,
   3806     thread_count
   3807 ) for data_item in data]
   3808 # res = [dict,   dict,   ...,   dict,  dict,   dict,   ...,   dict ]
   3809 #        |  stat for cat features  |  |  stat for float features  |
   3810 statistics_by_feature = defaultdict(list)

[snip]

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

https://numpy.org/devdocs/release/1.20.0-notes.html#using-the-aliases-of-builtin-types-like-np-int-is-deprecated

This worked with catboost 1.1.1 with numpy 1.22.3.

[saiwing-yeung]

Also works with catboost 1.2 and numpy 1.23.5.

[saiwing-yeung]

Thanks!