release version 2.0.0a1

Author: stephenhky

README.md

@@ -84,6 +84,7 @@ If you would like to contribute, feel free to submit the pull requests. You can
 
 ## News
 
+* 07/12/2024: `shorttext` 2.0.0 released.
 * 12/21/2023: `shorttext` 1.6.1 released.
 * 08/26/2023: `shorttext` 1.6.0 released.
 * 06/19/2023: `shorttext` 1.5.9 released.

docs/conf.py

@@ -56,9 +56,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = u'1.6'
+version = u'2.0'
 # The full version, including alpha/beta/rc tags.
-release = u'1.6.1'
+release = u'2.0.0'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/faq.rst

@@ -1,21 +1,19 @@
 Frequently Asked Questions (FAQ)
 ================================
 
-**Q1. Can we use TensorFlow backend?**
+**Q1. Can we use backends other than TensorFlow?**
 
-Ans: Yes, users can use TensorFlow and CNTK backend instead of Theano backend. Refer to `Keras Backend
-<https://keras.io/backend/>`_ for information about switching backends.
+Ans: No.
 
 
 **Q2. Can we use word-embedding algorithms other than Word2Vec?**
 
 Ans: Yes. Besides Word2Vec, you can use FastText and Poincaré embedding. See: :doc:`tutorial_wordembed` .
 
 
-**Q3. Can this package work on Python 3?**
+**Q3. Can this package work on Python 2?**
 
-Ans: Since release 1.0.0, this package can be run in Python 2.7, 3.5, and 3.6. (Before that, it operates only under Python 2.7.)
-     Since release 1.0.7, this package can also be run in Python 3.7 as well.
+Ans: No.
 
 
 **Q4. Warning or messages pop up when running models involving neural networks. What is the problem?**
@@ -47,7 +45,9 @@ Ans: This functionality is removed since release 0.5.11, due to the following re
 
 Ans: There is no "Python.h". Run: `sudo apt-get install python3-dev` in SSH shell of the VM instance.
 
+**Q8. My model files were created by `shorttext` version < 2.0.0. How do I make them readable for version >= 2.0.0?
 
+Ans: Simply make those files with names ending with `.h5` to `.weights.h5`.
 
 
 

docs/install.rst

@@ -4,7 +4,7 @@ Installation
 PIP
 ---
 
-Package `shorttext` runs in Python 3.6, 3.7, and 3.8. However, for Python>=3.7, the backend
+Package `shorttext` runs in Python 3.9, 3.10, 3.11, and 3.12. However, for Python>=3.7, the backend
 of keras_ cannot be Tensorflow_.
 
 To install the package in Linux or OS X, enter the following in the console:
@@ -29,10 +29,7 @@ you have to install these packages on your own.
 Backend for Keras
 -----------------
 
-The package keras_ (version >= 2.0.0) uses either Tensorflow_, Theano_, or CNTK_ as the backend, while Theano is usually
-the default. However, it is highly recommended to use Tensorflow as the backend.
-Users are advised to install the backend Tensorflow_ (preferred for Python 2.7, 3.5, and 3.6) or
-Theano_ (preferred for Python 3.7) in advance. Refer to
+The package keras_ (version >= 2.0.0) uses Tensorflow_ as the backend. Refer to
 :doc:`faq` for how to switch the backend. It is also desirable if the package Cython_ has been previously installed.
 
 

docs/intro.rst

@@ -8,7 +8,7 @@ representation of the texts and documents are needed before they are put into
 any classification algorithm. In this package, it facilitates various types
 of these representations, including topic modeling and word-embedding algorithms.
 
-The package `shorttext` runs on Python 3.8, 3.9, 3.10, and 3.11.
+The package `shorttext` runs on Python 3.9, 3.10, 3.11, and 3.12.
 
 Characteristics:
 

docs/news.rst

@@ -1,6 +1,7 @@
 News
 ====
 
+* 07/12/2024: `shorttext` 2.0.0 released.
 * 12/21/2023: `shorttext` 1.6.1 released.
 * 08/26/2023: `shorttext` 1.6.0 released.
 * 06/19/2023: `shorttext` 1.5.9 released.
@@ -80,6 +81,13 @@ News
 What's New
 ----------
 
+Released 2.0.0 (July 13, 2024)
+------------------------------
+
+* Decommissioned support for Python 3.8.
+* Added support for Python 3.12.
+* Updated file extensions for model files.
+
 Released 1.6.1 (December 21, 2023)
 ----------------------------------
 

setup.py

@@ -34,7 +34,7 @@ def test_requirements():
 
 
 setup(name='shorttext',
-      version='1.7.0a1',
+      version='2.0.0a1',
       description="Short Text Mining",
       long_description=package_description(),
       long_description_content_type='text/markdown',