from .uplift import DecisionTree, UpliftTreeClassifier, UpliftRandomForestClassifier File "causalml/inference/tree/uplift.pyx", line 1, in init causalml.inference.tree.uplift ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

[z-008]

Environment (please complete the following information):

• OS: Mac OS M1
• Python Version: 3.8
• Versions of Major Dependencies absl-py 1.0.0 actionrules-lukassykora 1.1.23 astunparse 1.6.3 Bottleneck 1.3.4 cachetools 5.0.0 causalml 0.12.3 certifi 2021.10.8 charset-normalizer 2.0.12 cloudpickle 2.0.0 cycler 0.11.0 Cython 0.29.28 dill 0.3.4 flatbuffers 2.0 fonttools 4.32.0 future 0.18.2 gast 0.5.3 google-auth 2.6.3 google-auth-oauthlib 0.4.6 google-pasta 0.2.0 graphviz 0.19.1 grpcio 1.44.0 h5py 3.6.0 idna 3.3 importlib-metadata 4.11.3 joblib 1.1.0 keras 2.8.0 Keras-Preprocessing 1.1.2 kiwisolver 1.4.2 libclang 13.0.0 lightgbm 3.2.1 llvmlite 0.38.0 Markdown 3.3.6 matplotlib 3.5.1 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 numba 0.55.1 numexpr 2.8.1 numpy 1.21.5 oauthlib 3.2.0 opt-einsum 3.3.0 packaging 21.3 pandas 1.4.1 patsy 0.5.2 Pillow 9.1.0 pip 21.2.4 progressbar2 4.0.0 protobuf 3.20.0 pyasn1 0.4.8 pyasn1-modules 0.2.8 pydotplus 2.0.2 pyfim 6.28 pygam 0.8.0 pyparsing 3.0.4 pyro-api 0.1.2 pyro-ppl 1.8.1 python-dateutil 2.8.2 python-utils 3.1.0 pytz 2021.3 requests 2.27.1 requests-oauthlib 1.3.1 rsa 4.8 scikit-learn 1.0.2 scipy 1.7.3 seaborn 0.11.2 setuptools 58.0.4 shap 0.40.0 six 1.16.0 slicer 0.0.7 statsmodels 0.13.2 tensorboard 2.8.0 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 tensorflow 2.8.0 tensorflow-io-gcs-filesystem 0.24.0 termcolor 1.1.0 tf-estimator-nightly 2.8.0.dev2021122109 threadpoolctl 2.2.0 torch 1.11.0 tqdm 4.64.0 typing_extensions 4.1.1 urllib3 1.26.9 Werkzeug 2.1.1 wheel 0.37.1 wrapt 1.14.0 xgboost 1.5.2 zipp 3.8.0

[z-008]

Tried upgrading numpy but to no avail

[z-008]

Running it on Mac M1 Python Version : 3.8

[helenykwang]

me too, Apple M1 Pro Python Version : 3.8.13

[alexander-pv]

Perhaps, in Apple Silicon chip case it is better to build the package from source for now as here and here numpy version is not specified which may lead to such numpy headers difference.