Can this package be compatible with MacOS M1 chip?

[shakewingo]

I've recently switched my Mac from x86_64 to arm64 while I am working on a project related to LDA topic modelling. I believe the new Mac currently only supports miniforge installation, therefore most packages can be installed via conda-forge/osx-arm64 channel or pip.

However this package can't be installed successfully.
Here's the error below via conda:

(furniture-recommender) (venv) Ys-Macbook-20:furniture-recommender-system yingyao$ conda install -c conda-forge lda
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

  - lda

Current channels:

  - https://conda.anaconda.org/conda-forge/osx-arm64
  - https://conda.anaconda.org/conda-forge/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.

Here's the error below via pip:

    gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -I/Users/yingyao/miniforge3/envs/furniture-recommender/include -arch arm64 -I/Users/yingyao/miniforge3/envs/furniture-recommender/include -arch arm64 -I/Users/yingyao/Documents/GitHub/furniture-recommender-system/venv/include -I/Users/yingyao/miniforge3/envs/furniture-recommender/include/python3.8 -c lda/_lda.c -o build/temp.macosx-11.0-arm64-3.8/lda/_lda.o
    clang: error: invalid version number in 'MACOSX_DEPLOYMENT_TARGET=11.0'
    error: command 'gcc' failed with exit status 1
    ----------------------------------------
ERROR: Command errored out with exit status 1: /Users/yingyao/Documents/GitHub/furniture-recommender-system/venv/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/7c/7t5wc26d3xsbyb2tcc_ygy9c0000gn/T/pip-install-tjqosq2i/lda_8d21923696e34aab9844ca682d37b5e7/setup.py'"'"'; __file__='"'"'/private/var/folders/7c/7t5wc26d3xsbyb2tcc_ygy9c0000gn/T/pip-install-tjqosq2i/lda_8d21923696e34aab9844ca682d37b5e7/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /private/var/folders/7c/7t5wc26d3xsbyb2tcc_ygy9c0000gn/T/pip-record-fu9z688z/install-record.txt --single-version-externally-managed --compile --install-headers /Users/yingyao/Documents/GitHub/furniture-recommender-system/venv/include/site/python3.8/lda Check the logs for full command output.

I preferred this package more than the one in skicit-learn so would like to continue using it. Does anyone know the solution by chance???

[shakewingo]

Solved the issue by following setup:
apple/tensorflow_macos#153 and downgraded pillow to 8.2.0 via conda and h5py to 2.10.0 via pip.
Then pip install lda