Name:           python-model-describer
Version:        0.1.2.2
Release:        1%{?dist}
Summary:        How can I unlock what my model is thinking? model-describer helps answer this problem for sklearn machine learning models. Specifically, model-describer helps address two key issues: error and model sensitivity. For error, model-describer analyzes how well the model is performing within key regions of the data in a visually compelling way. For sensitivity, model-describer identifies what parts of different variable distributions have the biggest impact on model predictions and plots them.

# Check if the automatically generated License and its spelling is correct for Fedora
# https://docs.fedoraproject.org/en-US/packaging-guidelines/LicensingGuidelines/
License:        MIT
URL:            https://github.com/DataScienceSquad/model-describer
Source:         %{pypi_source model-describer}

BuildArch:      noarch
BuildRequires:  python3-devel


# Fill in the actual package description to submit package to Fedora
%global _description %{expand:
This is package 'model-describer' generated automatically by pyp2spec.}


%description %_description

%package -n     python3-model-describer
Summary:        %{summary}

%description -n python3-model-describer %_description


%prep
%autosetup -p1 -n model-describer-%{version}


%generate_buildrequires
%pyproject_buildrequires


%build
%pyproject_wheel


%install
%pyproject_install
# For official Fedora packages, including files with '*' +auto is not allowed
# Replace it with a list of relevant Python modules/globs and list extra files in %%files
%pyproject_save_files '*' +auto


%check
%pyproject_check_import -t


%files -n python3-model-describer -f %{pyproject_files}


%changelog
* Mon Apr 04 2022 mockbuilder - 0.1.2.2-1
- Package generated with pyp2spec