Add docs config

Update setup remove ipympl dependency
Update Project Name
add build to Makefile

Makefile

@@ -1,6 +1,6 @@
 SHELL := /bin/bash
 .DEFAULT_GOAL := help
-.PHONY: coverage deps help lint push test
+.PHONY: coverage deps help lint push test doc build
 
 coverage:  ## Run tests with coverage
 	coverage erase
@@ -24,6 +24,13 @@ test:  ## Run tests
 doc:  ## Update documentation
 	make -C docs --makefile=Makefile html
 
+build:  ## Build package
+	rm -fr dist/*
+	python setup.py sdist bdist_wheel
+
+doc-clean:  ## Update documentation
+	make -C docs --makefile=Makefile clean
+
 help: ## Show help message
 	@IFS=$$'\n' ; \
 	help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \
@@ -39,4 +46,4 @@ help: ## Show help message
 		printf "%-20s %s" $$help_command ; \
 		printf '\033[0m'; \
 		printf "%s\n" $$help_info; \
-	done
+	done

README.md

@@ -1,8 +1,9 @@
 ![CI](https://github.com/Doctorado-ML/STree/workflows/CI/badge.svg)
 [![codecov](https://codecov.io/gh/doctorado-ml/stree/branch/master/graph/badge.svg)](https://codecov.io/gh/doctorado-ml/stree)
 [![Codacy Badge](https://app.codacy.com/project/badge/Grade/35fa3dfd53a24a339344b33d9f9f2f3d)](https://www.codacy.com/gh/Doctorado-ML/STree?utm_source=github.com&utm_medium=referral&utm_content=Doctorado-ML/STree&utm_campaign=Badge_Grade)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/Doctorado-ML/STree.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Doctorado-ML/STree/context:python)
 
-# Stree
+# STree
 
 Oblique Tree classifier based on SVM nodes. The nodes are built and splitted with sklearn SVC models. Stree is a sklearn estimator and can be integrated in pipelines, grid searches, etc.
 

docs/requirements.txt

@@ -1,3 +1,4 @@
 sphinx
 sphinx-rtd-theme
 myst-parser
+git+https://github.com/doctorado-ml/stree

docs/source/conf.py

@@ -12,6 +12,7 @@
 #
 import os
 import sys
+import stree
 
 sys.path.insert(0, os.path.abspath("../../stree/"))
 
@@ -23,7 +24,8 @@ copyright = "2020 - 2021, Ricardo Montañana Gómez"
 author = "Ricardo Montañana Gómez"
 
 # The full version, including alpha/beta/rc tags
-release = "1.0"
+version = stree.__version__
+release = version
 
 
 # -- General configuration ---------------------------------------------------

docs/source/stree.md

@@ -1,8 +1,9 @@
-# Stree
+# STree
 
 [![Codeship Status for Doctorado-ML/STree](https://app.codeship.com/projects/8b2bd350-8a1b-0138-5f2c-3ad36f3eb318/status?branch=master)](https://app.codeship.com/projects/399170)
 [![codecov](https://codecov.io/gh/doctorado-ml/stree/branch/master/graph/badge.svg)](https://codecov.io/gh/doctorado-ml/stree)
 [![Codacy Badge](https://app.codacy.com/project/badge/Grade/35fa3dfd53a24a339344b33d9f9f2f3d)](https://www.codacy.com/gh/Doctorado-ML/STree?utm_source=github.com&utm_medium=referral&utm_content=Doctorado-ML/STree&utm_campaign=Badge_Grade)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/Doctorado-ML/STree.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/Doctorado-ML/STree/context:python)
 
 Oblique Tree classifier based on SVM nodes. The nodes are built and splitted with sklearn SVC models. Stree is a sklearn estimator and can be integrated in pipelines, grid searches, etc.
 

setup.py

@@ -1,5 +1,4 @@
 import setuptools
-import stree
 
 
 def readme():
@@ -7,11 +6,23 @@ def readme():
         return f.read()
 
 
-VERSION = stree.__version__
+def get_data(field):
+    item = ""
+    with open("stree/__init__.py") as f:
+        for line in f.readlines():
+            if line.startswith(f"__{field}__"):
+                delim = '"' if '"' in line else "'"
+                item = line.split(delim)[1]
+                break
+        else:
+            raise RuntimeError(f"Unable to find {field} string.")
+    return item
+
+
 setuptools.setup(
     name="STree",
-    version=stree.__version__,
+    version=get_data("version"),
-    license=stree.__license__,
+    license=get_data("license"),
     description="Oblique decision tree with svm nodes",
     long_description=readme(),
     long_description_content_type="text/markdown",
@@ -21,19 +32,19 @@ setuptools.setup(
         "Code": "https://github.com/Doctorado-ML/STree",
         "Documentation": "https://stree.readthedocs.io/en/latest/index.html",
     },
-    author=stree.__author__,
+    author=get_data("author"),
-    author_email=stree.__author_email__,
+    author_email=get_data("author_email"),
     keywords="scikit-learn oblique-classifier oblique-decision-tree decision-\
     tree svm svc",
     classifiers=[
         "Development Status :: 5 - Production/Stable",
-        "License :: OSI Approved :: " + stree.__license__,
+        "License :: OSI Approved :: " + get_data("license"),
         "Programming Language :: Python :: 3.8",
         "Natural Language :: English",
         "Topic :: Scientific/Engineering :: Artificial Intelligence",
         "Intended Audience :: Science/Research",
     ],
-    install_requires=["scikit-learn", "numpy", "ipympl"],
+    install_requires=["scikit-learn", "numpy"],
     test_suite="stree.tests",
     zip_safe=False,
 )

stree/.readthedocs.yaml

@@ -0,0 +1,10 @@
+version: 2
+
+sphinx:
+  configuration: docs/source/conf.py
+
+python:
+  version: 3.8
+  install:
+    - requirements: requirements.txt
+    - requirements: docs/requirements.txt