From 78ab8237261dedff61a0cab25a7944891ddb02e1 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 04:35:55 +0000 Subject: automatic import of python-whylogs --- python-whylogs.spec | 327 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 327 insertions(+) create mode 100644 python-whylogs.spec (limited to 'python-whylogs.spec') diff --git a/python-whylogs.spec b/python-whylogs.spec new file mode 100644 index 0000000..5d900b1 --- /dev/null +++ b/python-whylogs.spec @@ -0,0 +1,327 @@ +%global _empty_manifest_terminate_build 0 +Name: python-whylogs +Version: 1.1.39 +Release: 1 +Summary: Profile and monitor your ML data pipeline end-to-end +License: Apache-2.0 +URL: https://docs.whylabs.ai +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a0/d2/50c3c523d2cf5cc61c0fdb387f677b367cc37afb60f174a2345f7e0d0094/whylogs-1.1.39.tar.gz +BuildArch: noarch + +Requires: python3-Pillow +Requires: python3-boto3 +Requires: python3-fugue +Requires: python3-furo +Requires: python3-google-cloud-storage +Requires: python3-importlib-metadata +Requires: python3-ipython +Requires: python3-ipython_genutils +Requires: python3-mlflow-skinny +Requires: python3-myst-parser[sphinx] +Requires: python3-nbconvert +Requires: python3-nbsphinx +Requires: python3-numpy +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-protobuf +Requires: python3-pyarrow +Requires: python3-pybars3 +Requires: python3-pyspark +Requires: python3-requests +Requires: python3-scikit-learn +Requires: python3-scikit-learn +Requires: python3-scipy +Requires: python3-scipy +Requires: python3-sphinx +Requires: python3-sphinx-autoapi +Requires: python3-sphinx-autobuild +Requires: python3-sphinx-copybutton +Requires: python3-sphinx-inline-tabs +Requires: python3-sphinxext-opengraph +Requires: python3-typing-extensions +Requires: python3-whylabs-client +Requires: python3-whylogs-sketching + +%description +

+ +
+ +

The open standard for data logging + +

+

+ Documentation • + Slack Community • + Python Quickstart • + WhyLabs Quickstart +

+ +

+ + License + + + PyPi Version + + + Code style: black + + + PyPi Downloads + + + CI + + + Maintainability + +

+ +## What is whylogs + +whylogs is an open source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called _whylogs profiles_) which they can use to: + +1. Track changes in their dataset +2. Create _data constraints_ to know whether their data looks the way it should +3. Quickly visualize key summary statistics about their datasets + +These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: + +- Detect data drift in model input features +- Detect training-serving skew, concept drift, and model performance degradation +- Validate data quality in model inputs or in a data pipeline +- Perform exploratory data analysis of massive datasets +- Track data distributions & data quality for ML experiments +- Enable data auditing and governance across the organization +- Standardize data documentation practices across the organization +- And more + +## Quickstart + +Install whylogs using the pip package manager in a terminal by running: + +``` +pip install whylogs +``` + +Then you can log data in python as simply as this: + +```python +import whylogs as why +import pandas as pd + +df = pd.read_csv("path/to/file.csv") +results = why.log(df) +``` + +And voilà, you now have a whylogs profile. To learn more about what a whylogs profile is and what you can do with it, check out our [docs](https://whylogs.readthedocs.io/en/latest/) and our [examples](https://github.com/whylabs/whylogs/tree/mainline/python/examples). + + + +%package -n python3-whylogs +Summary: Profile and monitor your ML data pipeline end-to-end +Provides: python-whylogs +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-whylogs +

+ +
+ +

The open standard for data logging + +

+

+ Documentation • + Slack Community • + Python Quickstart • + WhyLabs Quickstart +

+ +

+ + License + + + PyPi Version + + + Code style: black + + + PyPi Downloads + + + CI + + + Maintainability + +

+ +## What is whylogs + +whylogs is an open source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called _whylogs profiles_) which they can use to: + +1. Track changes in their dataset +2. Create _data constraints_ to know whether their data looks the way it should +3. Quickly visualize key summary statistics about their datasets + +These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: + +- Detect data drift in model input features +- Detect training-serving skew, concept drift, and model performance degradation +- Validate data quality in model inputs or in a data pipeline +- Perform exploratory data analysis of massive datasets +- Track data distributions & data quality for ML experiments +- Enable data auditing and governance across the organization +- Standardize data documentation practices across the organization +- And more + +## Quickstart + +Install whylogs using the pip package manager in a terminal by running: + +``` +pip install whylogs +``` + +Then you can log data in python as simply as this: + +```python +import whylogs as why +import pandas as pd + +df = pd.read_csv("path/to/file.csv") +results = why.log(df) +``` + +And voilà, you now have a whylogs profile. To learn more about what a whylogs profile is and what you can do with it, check out our [docs](https://whylogs.readthedocs.io/en/latest/) and our [examples](https://github.com/whylabs/whylogs/tree/mainline/python/examples). + + + +%package help +Summary: Development documents and examples for whylogs +Provides: python3-whylogs-doc +%description help +

+ +
+ +

The open standard for data logging + +

+

+ Documentation • + Slack Community • + Python Quickstart • + WhyLabs Quickstart +

+ +

+ + License + + + PyPi Version + + + Code style: black + + + PyPi Downloads + + + CI + + + Maintainability + +

+ +## What is whylogs + +whylogs is an open source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called _whylogs profiles_) which they can use to: + +1. Track changes in their dataset +2. Create _data constraints_ to know whether their data looks the way it should +3. Quickly visualize key summary statistics about their datasets + +These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: + +- Detect data drift in model input features +- Detect training-serving skew, concept drift, and model performance degradation +- Validate data quality in model inputs or in a data pipeline +- Perform exploratory data analysis of massive datasets +- Track data distributions & data quality for ML experiments +- Enable data auditing and governance across the organization +- Standardize data documentation practices across the organization +- And more + +## Quickstart + +Install whylogs using the pip package manager in a terminal by running: + +``` +pip install whylogs +``` + +Then you can log data in python as simply as this: + +```python +import whylogs as why +import pandas as pd + +df = pd.read_csv("path/to/file.csv") +results = why.log(df) +``` + +And voilà, you now have a whylogs profile. To learn more about what a whylogs profile is and what you can do with it, check out our [docs](https://whylogs.readthedocs.io/en/latest/) and our [examples](https://github.com/whylabs/whylogs/tree/mainline/python/examples). + + + +%prep +%autosetup -n whylogs-1.1.39 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-whylogs -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 1.1.39-1 +- Package Spec generated -- cgit v1.2.3