AutoViML / deep_autoviml

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Apache License 2.0
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unable to install deep_autoviml #23

Closed GDGauravDutta closed 5 months ago

GDGauravDutta commented 5 months ago

Collecting deep_autoviml Downloading deep_autoviml-0.0.84-py3-none-any.whl.metadata (20 kB) Requirement already satisfied: emoji in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (2.11.0) Requirement already satisfied: ipython in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (8.20.0) Collecting jupyter (from deep_autoviml) Downloading jupyter-1.0.0-py2.py3-none-any.whl.metadata (995 bytes) Requirement already satisfied: matplotlib in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (3.7.5) Collecting numpy~=1.19.2 (from deep_autoviml) Downloading numpy-1.19.5.zip (7.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.3/7.3 MB 47.7 MB/s eta 0:00:0000:0100:01 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Requirement already satisfied: optuna in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (3.6.1) Requirement already satisfied: pandas in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (2.2.2) Requirement already satisfied: regex in /opt/conda/lib/python3.10/site-packages (from deep_autoviml) (2023.12.25) Collecting scikit-learn<=0.24.2,>=0.23.1 (from deep_autoviml) Downloading scikit-learn-0.24.2.tar.gz (7.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.5/7.5 MB 86.0 MB/s eta 0:00:00:00:0100:01 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [1613 lines of output]

:17: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html Partial import of sklearn during the build process. :116: DeprecationWarning: `numpy.distutils` is deprecated since NumPy 1.23.0, as a result of the deprecation of `distutils` itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use `setuptools < 60.0` for those Python versions. For more details, see: https://numpy.org/devdocs/reference/distutils_status_migration.html INFO: C compiler: gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.
AutoViML commented 5 months ago

Hi @GDGauravDutta thanks for trying out deep_autoviml in Kaggle 👍

I have updated the setup.py and requirements.txt files and have tested it on Kaggle. It installs correctly (see screenshot) image

Please upgrade to the latest version and continue. Kaggle Notebook: https://www.kaggle.com/code/rsesha/deep-autoviml-on-flood-prediction Auto Vimal

GDGauravDutta commented 5 months ago

Working now