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Version 1.3 (#197)
* update version to `1.3` * update version to `1.3` + add Feature Extraction Models to the table * update version to `1.3` * update version to `1.3` * add version to `1.3` * update version to `1.3` * `CHANGELOG.md` updated * update version to `1.3` * Update CHANGELOG.md
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.github/ISSUE_TEMPLATE/bug_report.yml

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label: PyMilo version
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description: Which version of PyMilo are you using?
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options:
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- PyMilo 1.3
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- PyMilo 1.2
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- PyMilo 1.1
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- PyMilo 1.0

CHANGELOG.md

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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
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and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [1.3] - 2025-02-26
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### Added
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- `TfidfVectorizer` feature extractor
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- `TfidfTransformer` feature extractor
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- `Export` class
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- `Import` class
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[Unreleased]: https://github.com/openscilab/pymilo/compare/v1.2...dev
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[Unreleased]: https://github.com/openscilab/pymilo/compare/v1.3...dev
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[1.3]: https://github.com/openscilab/pymilo/compare/v1.2...v1.3
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[1.2]: https://github.com/openscilab/pymilo/compare/v1.1...v1.2
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[1.1]: https://github.com/openscilab/pymilo/compare/v1.0...v1.1
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[1.0]: https://github.com/openscilab/pymilo/compare/v0.9...v1.0

README.md

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### PyPI
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- Check [Python Packaging User Guide](https://packaging.python.org/installing/)
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- Run `pip install pymilo==1.2`
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- Run `pip install pymilo==1.3`
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### Source code
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- Download [Version 1.2](https://github.com/openscilab/pymilo/archive/v1.2.zip) or [Latest Source](https://github.com/openscilab/pymilo/archive/dev.zip)
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- Download [Version 1.3](https://github.com/openscilab/pymilo/archive/v1.3.zip) or [Latest Source](https://github.com/openscilab/pymilo/archive/dev.zip)
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- Run `pip install .`
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### Conda
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| Pipeline Model ✅ | - |
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| Preprocessing Models ✅ | - |
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| Cross Decomposition Models ✅ | - |
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| Feature Extractor Models ✅ | - |
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Details are available in [Supported Models](https://github.com/openscilab/pymilo/blob/main/SUPPORTED_MODELS.md).

SECURITY.md

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| Version | Supported |
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| ------------- | ------------------ |
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| 1.2 | :white_check_mark: |
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| < 1.2 | :x: |
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| 1.3 | :white_check_mark: |
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| < 1.3 | :x: |
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## Reporting a vulnerability
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otherfiles/meta.yaml

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{% set name = "pymilo" %}
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{% set version = "1.2" %}
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{% set version = "1.3" %}
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package:
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name: {{ name|lower }}

otherfiles/version_check.py

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import sys
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import codecs
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Failed = 0
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PYMILO_VERSION = "1.2"
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PYMILO_VERSION = "1.3"
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SETUP_ITEMS = [

pymilo/pymilo_param.py

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OVERVIEW = """
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PyMilo is an open source Python package that provides a simple, efficient, and safe way for users to export pre-trained machine learning models in a transparent way.
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"""
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PYMILO_VERSION = "1.2"
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PYMILO_VERSION = "1.3"
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NOT_SUPPORTED = "NOT_SUPPORTED"
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PYMILO_VERSION_DOES_NOT_EXIST = "Corrupted JSON file, `pymilo_version` doesn't exist in this file."
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UNEQUAL_PYMILO_VERSIONS = "warning: Installed PyMilo version differs from the PyMilo version used to create the JSON file."

setup.py

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setup(
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name='pymilo',
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packages=find_packages(include=['pymilo*'], exclude=['tests*']),
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version='1.2',
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version='1.3',
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description='PyMilo: Python for ML I/O',
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long_description=read_description(),
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long_description_content_type='text/markdown',
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author='PyMilo Development Team',
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author_email='[email protected]',
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url='https://github.com/openscilab/pymilo',
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download_url='https://github.com/openscilab/pymilo/tarball/v1.2',
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download_url='https://github.com/openscilab/pymilo/tarball/v1.3',
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keywords="machine_learning ml ai mlops model export import",
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project_urls={
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'Source': 'https://github.com/openscilab/pymilo',

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