Release new version

Author: thieu1995

README.md

@@ -4,7 +4,7 @@
 ---
 
 
-[![GitHub release](https://img.shields.io/badge/release-0.1.6-yellow.svg)](https://github.com/thieu1995/mafese/releases)
+[![GitHub release](https://img.shields.io/badge/release-0.1.7-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)
@@ -26,7 +26,7 @@ using meta-heuristic algorithms.
 
 * **Free software:** GNU General Public License (GPL) V3 license
 * **Total Wrapper-based (Metaheuristic Algorithms)**: > 180 methods
-* **Total Filter-based (Statistical-based)**: > 12 methods
+* **Total Filter-based (Statistical-based)**: > 15 methods
 * **Total Embedded-based (Tree and Lasso)**: > 10 methods
 * **Total Unsupervised-based**: >= 4 methods
 * **Total classification dataset**: >= 30 datasets
@@ -43,7 +43,7 @@ using meta-heuristic algorithms.
 
 Install the [current PyPI release](https://pypi.python.org/pypi/mafese):
 ```sh 
-$ pip install mafese==0.1.6
+$ pip install mafese==0.1.7
 ```
 
 ### Install directly from source code
@@ -61,9 +61,14 @@ docs
 examples
 mafese
     data/
-        Arrhythmia.csv
-        BreastCancer.csv
-        ...
+        cls/
+            aggregation.csv
+            Arrhythmia.csv
+            ...
+        reg/
+            boston-housing.csv
+            diabetes.csv
+            ...
     wrapper/
         mha.py
         recursive.py

docs/source/index.rst

@@ -6,7 +6,7 @@
 Welcome to MAFESE's documentation!
 ==================================
 
-.. image:: https://img.shields.io/badge/release-0.1.6-yellow.svg
+.. image:: https://img.shields.io/badge/release-0.1.7-yellow.svg
    :target: https://github.com/thieu1995/mafese/releases
 
 .. image:: https://img.shields.io/pypi/wheel/gensim.svg
@@ -57,7 +57,7 @@ using meta-heuristic algorithms.
 
 * **Free software:** GNU General Public License (GPL) V3 license
 * **Total Wrapper-based (Metaheuristic Algorithms)**: > 180 methods
-* **Total Filter-based (Statistical-based)**: > 12 methods
+* **Total Filter-based (Statistical-based)**: > 15 methods
 * **Total Embedded-based (Tree and Lasso)**: > 10 methods
 * **Total Unsupervised-based**: >= 4 methods
 * **Total classification dataset**: >= 30 datasets

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==0.1.6
+   $ pip install mafese==0.1.7
 
 
 * Install directly from source code::

mafese/__init__.py

@@ -4,7 +4,7 @@
 #       Github: https://github.com/thieu1995        %                         
 # --------------------------------------------------%
 
-__version__ = "0.1.6"
+__version__ = "0.1.7"
 
 from mafese.utils.data_loader import Data, get_dataset
 from mafese.filter import FilterSelector

setup.py

@@ -15,7 +15,7 @@ def readme():
 
 setup(
     name="mafese",
-    version="0.1.6",
+    version="0.1.7",
     author="Thieu",
     author_email="[email protected]",
     description="MAFESE: Metaheuristic Algorithm for Feature Selection - An Open Source Python Library",
@@ -30,7 +30,7 @@ def readme():
               "Differential evolution (DE)", "Simulated annealing", "Grey wolf optimizer (GWO)", "Whale Optimization Algorithm (WOA)",
               "confusion matrix", "recall", "precision", "accuracy", "K-Nearest Neighbors", "random forest",
               "support vector machine", "pearson correlation coefficient (PCC)", "spearman correlation coefficient (SCC)",
-              "relief", "multi-objectives optimization problems", "Stochastic optimization", "Global optimization",
+              "relief", "relief-f", "multi-objectives optimization problems", "Stochastic optimization", "Global optimization",
               "Convergence analysis", "Search space exploration", "Local search", "Computational intelligence", "Robust optimization",
               "Performance analysis", "Intelligent optimization", "Simulations"],
     url="https://github.com/thieu1995/mafese",