Fix RAI multilabel classification notebook failure by pinning

[imatiach-msft]

Description

Fix RAI multilabel classification notebook failure by pinning
Pinned number<1.24.0 on mlflow model to resolve error in "RAI Vision Insights" component:

Traceback (most recent call last):
  File "/mnt/azureml/cr/j/a896ff0f5fcc40aca1ad9f27d606f315/exe/wd/./rai_vision_insights.py", line 540, in <module>
    main(args)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/azureml/rai/utils/telemetry/loggerfactory.py", line 153, in wrapper
    return func(*args, **kwargs)
  File "/mnt/azureml/cr/j/a896ff0f5fcc40aca1ad9f27d606f315/exe/wd/./rai_vision_insights.py", line 507, in main
    rai_vi.compute(**automl_xai_args)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/responsibleai_vision/rai_vision_insights/rai_vision_insights.py", line 303, in compute
    manager.compute(**kwargs)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/responsibleai_vision/managers/explainer_manager.py", line 180, in compute
    self.compute_single_explanation(i, **kwargs)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/responsibleai_vision/managers/explainer_manager.py", line 245, in compute_single_explanation
    explanation = self.get_shap_explanations(image, max_evals)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/responsibleai_vision/managers/explainer_manager.py", line 328, in get_shap_explanations
    explainer = shap.Explainer(self._model.predict_proba,
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/shap/explainers/_explainer.py", line 184, in __init__
    explainers.Partition.__init__(self, self.model, self.masker, link=self.link, feature_names=self.feature_names, linearize_link=linearize_link, output_names=self.output_names, **kwargs)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/shap/explainers/_partition.py", line 113, in __init__
    self._mask_matrix = make_masks(self._clustering)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/shap/utils/_masked_model.py", line 413, in make_masks
    indices_row_pos = np.zeros(2 * M - 1, dtype=np.int)
  File "/azureml-envs/responsibleai-vision/lib/python3.9/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
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

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