Release new version 0.1.4

ChangeLog.md

@@ -1,3 +1,17 @@
+# Version 0.1.4
+
++ Relocate regression and classification datasets
++ Add Unsupervised-based methods:
+  - "VAR": Variance Threshold method
+  - "MAD": Mean Absolute Difference
+  - "DR": Dispersion Ratio
+  - "MCL": Multicollinearity method based on Variance Inflation Factor (VIF) value
++ Update documents, examples, test
++ Remove matplotlib dependency
+
+---------------------------------------------------------------------
+
+
 # Version 0.1.3
 
 + Relocate regression and classification datasets

README.md

@@ -4,7 +4,7 @@
 ---
 
 
-[![GitHub release](https://img.shields.io/badge/release-0.1.3-yellow.svg)](https://github.com/thieu1995/mafese/releases)
+[![GitHub release](https://img.shields.io/badge/release-0.1.4-yellow.svg)](https://github.com/thieu1995/mafese/releases)
 [![Wheel](https://img.shields.io/pypi/wheel/gensim.svg)](https://pypi.python.org/pypi/mafese) 
 [![PyPI version](https://badge.fury.io/py/mafese.svg)](https://badge.fury.io/py/mafese)
 ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mafese.svg)
@@ -15,8 +15,6 @@
 ![GitHub Release Date](https://img.shields.io/github/release-date/thieu1995/mafese.svg)
 [![Documentation Status](https://readthedocs.org/projects/mafese/badge/?version=latest)](https://mafese.readthedocs.io/en/latest/?badge=latest)
 [![Chat](https://img.shields.io/badge/Chat-on%20Telegram-blue)](https://t.me/+fRVCJGuGJg1mNDg1)
-[![Average time to resolve an issue](http://isitmaintained.com/badge/resolution/thieu1995/mafese.svg)](http://isitmaintained.com/project/thieu1995/mafese "Average time to resolve an issue")
-[![Percentage of issues still open](http://isitmaintained.com/badge/open/thieu1995/mafese.svg)](http://isitmaintained.com/project/thieu1995/mafese "Percentage of issues still open")
 ![GitHub contributors](https://img.shields.io/github/contributors/thieu1995/mafese.svg)
 [![GitTutorial](https://img.shields.io/badge/PR-Welcome-%23FF8300.svg?)](https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project)
 [![DOI](https://zenodo.org/badge/545209353.svg)](https://doi.org/10.5281/zenodo.7969042)
@@ -30,6 +28,7 @@ using meta-heuristic algorithms.
 * **Total Wrapper-based (Metaheuristic Algorithms)**: > 180 methods
 * **Total Filter-based (Statistical-based)**: > 12 methods
 * **Total Embedded-based (Tree and Lasso)**: > 10 methods
+* **Total Unsupervised-based**: >= 4 methods
 * **Total classification dataset**: >= 30 datasets
 * **Total regression dataset**: >= 3 datasets
 * **Total performance metrics (as fitness)**: > 30 metrics
@@ -44,7 +43,7 @@ using meta-heuristic algorithms.
 
 Install the [current PyPI release](https://pypi.python.org/pypi/mafese):
 ```sh 
-$ pip install mafese==0.1.3
+$ pip install mafese==0.1.4
 ```
 
 ### Install directly from source code
@@ -73,6 +72,7 @@ mafese
         lasso.py
         tree.py
     filter.py
+    unsupervised.py
     utils/
         correlation.py
         data_loader.py

docs/source/index.rst

@@ -6,7 +6,7 @@
 Welcome to MAFESE's documentation!
 ==================================
 
-.. image:: https://img.shields.io/badge/release-0.1.3-yellow.svg
+.. image:: https://img.shields.io/badge/release-0.1.4-yellow.svg
    :target: https://github.com/thieu1995/mafese/releases
 
 .. image:: https://img.shields.io/pypi/wheel/gensim.svg
@@ -39,12 +39,6 @@ Welcome to MAFESE's documentation!
 .. image:: https://img.shields.io/badge/Chat-on%20Telegram-blue
    :target: https://t.me/+fRVCJGuGJg1mNDg1
 
-.. image:: http://isitmaintained.com/badge/resolution/thieu1995/mafese.svg
-   :target: http://isitmaintained.com/project/thieu1995/mafese
-
-.. image:: http://isitmaintained.com/badge/open/thieu1995/mafese.svg
-   :target: http://isitmaintained.com/project/thieu1995/mafese
-
 .. image:: https://img.shields.io/github/contributors/thieu1995/mafese.svg
    :target: https://img.shields.io/github/contributors/thieu1995/mafese.svg
 
@@ -65,6 +59,7 @@ using meta-heuristic algorithms.
 * **Total Wrapper-based (Metaheuristic Algorithms)**: > 180 methods
 * **Total Filter-based (Statistical-based)**: > 12 methods
 * **Total Embedded-based (Tree and Lasso)**: > 10 methods
+* **Total Unsupervised-based**: >= 4 methods
 * **Total classification dataset**: >= 30 datasets
 * **Total regression dataset**: >= 3 datasets
 * **Total performance metrics (as fitness)**: > 30 metrics
@@ -85,6 +80,7 @@ Features
       + Sequential-based: forward and backward
       + Recursive-based
       + MHA-based: Metaheuristic Algorithms
+   + Unsupervised-based FS
 - We have implemented all feature selection methods based on scipy, scikit-learn and numpy to increase the speed of the algorithms.
 
 

docs/source/pages/quick_start.rst

@@ -4,7 +4,7 @@ Installation
 
 * Install the `current PyPI release <https://pypi.python.org/pypi/mafese />`_::
 
-   $ pip install mafese==0.1.3
+   $ pip install mafese==0.1.4
 
 
 * Install directly from source code::
@@ -36,6 +36,7 @@ Current's structure::
          lasso.py
          tree.py
       filter.py
+      unsupervised.py
       utils/
          correlation.py
          data_loader.py

mafese/__init__.py

@@ -4,7 +4,7 @@
 #       Github: https://github.com/thieu1995        %                         
 # --------------------------------------------------%
 
-__version__ = "0.1.3"
+__version__ = "0.1.4"
 
 from mafese.utils.data_loader import Data, get_dataset
 from mafese.filter import FilterSelector
@@ -13,3 +13,4 @@
 from mafese.wrapper.mha import MhaSelector
 from mafese.embedded.lasso import LassoSelector
 from mafese.embedded.tree import TreeSelector
+from mafese.unsupervised import UnsupervisedSelector