Version 1.4

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -85,6 +85,7 @@ body:
       label: PyMilo version
       description: Which version of PyMilo are you using?
       options:
+        - PyMilo 1.4
         - PyMilo 1.3
         - PyMilo 1.2
         - PyMilo 1.1

CHANGELOG.md

@@ -5,6 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
 and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 
 ## [Unreleased]
+## [1.4] - 2025-11-27
 ### Added
 ### Changed
 - `README.md` updated
@@ -397,7 +398,8 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
 - `Export` class
 - `Import` class
 
-[Unreleased]: https://github.com/openscilab/pymilo/compare/v1.3...dev
+[Unreleased]: https://github.com/openscilab/pymilo/compare/v1.4...dev
+[1.4]: https://github.com/openscilab/pymilo/compare/v1.3...v1.4
 [1.3]: https://github.com/openscilab/pymilo/compare/v1.2...v1.3
 [1.2]: https://github.com/openscilab/pymilo/compare/v1.1...v1.2
 [1.1]: https://github.com/openscilab/pymilo/compare/v1.0...v1.1

README.md

@@ -66,9 +66,9 @@ PyMilo is an open source Python package that provides a simple, efficient, and s
 ### PyPI
 
 - Check [Python Packaging User Guide](https://packaging.python.org/installing/)
-- Run `pip install pymilo==1.3`
+- Run `pip install pymilo==1.4`
 ### Source code
-- Download [Version 1.3](https://github.com/openscilab/pymilo/archive/v1.3.zip) or [Latest Source](https://github.com/openscilab/pymilo/archive/dev.zip)
+- Download [Version 1.4](https://github.com/openscilab/pymilo/archive/v1.4.zip) or [Latest Source](https://github.com/openscilab/pymilo/archive/dev.zip)
 - Run `pip install .`
 
 ### Conda
@@ -200,6 +200,8 @@ You can easily serve your ML model from a remote server using `ML streaming` fea
 
 ⚠️ In order to use `ML streaming` feature, make sure you've installed the `streaming` mode of PyMilo
 
+⚠️ The `ML streaming` feature is under construction and is not yet considered stable.
+
 You can choose either `REST` or `WebSocket` as the communication medium protocol.
 
 #### Server

SECURITY.md

@@ -4,8 +4,8 @@
 
 | Version       | Supported          |
 | ------------- | ------------------ |
-| 1.3           | :white_check_mark: |
-| < 1.3         | :x:                |
+| 1.4           | :white_check_mark: |
+| < 1.4         | :x:                |
 
 ## Reporting a vulnerability
 

otherfiles/meta.yaml

@@ -1,5 +1,5 @@
 {% set name = "pymilo" %}
-{% set version = "1.3" %}
+{% set version = "1.4" %}
 
 package:
     name: {{ name|lower }}

otherfiles/version_check.py

@@ -4,7 +4,7 @@
 import sys
 import codecs
 Failed = 0
-PYMILO_VERSION = "1.3"
+PYMILO_VERSION = "1.4"
 
 
 SETUP_ITEMS = [

pymilo/pymilo_param.py

@@ -86,7 +86,7 @@
 OVERVIEW = """
 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.
 """
-PYMILO_VERSION = "1.3"
+PYMILO_VERSION = "1.4"
 NOT_SUPPORTED = "NOT_SUPPORTED"
 PYMILO_VERSION_DOES_NOT_EXIST = "Corrupted JSON file, `pymilo_version` doesn't exist in this file."
 UNEQUAL_PYMILO_VERSIONS = "warning: Installed PyMilo version differs from the PyMilo version used to create the JSON file."

setup.py

@@ -35,14 +35,14 @@ def read_description():
 setup(
     name='pymilo',
     packages=find_packages(include=['pymilo*'], exclude=['tests*']),
-    version='1.3',
+    version='1.4',
     description='PyMilo: Python for ML I/O',
     long_description=read_description(),
     long_description_content_type='text/markdown',
     author='PyMilo Development Team',
     author_email='pymilo@openscilab.com',
     url='https://github.com/openscilab/pymilo',
-    download_url='https://github.com/openscilab/pymilo/tarball/v1.3',
+    download_url='https://github.com/openscilab/pymilo/tarball/v1.4',
     keywords="machine_learning ml ai mlops model export import",
     project_urls={
             'Source': 'https://github.com/openscilab/pymilo',