Doctorado-ML/stree
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Add doc-clean and lgtm badge

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Ricardo Montañana Gómez
2021-05-11 09:03:26 +02:00
parent 4f04e72670
commit 79190ef2e1
4 changed files with 9 additions and 2 deletions
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5
Makefile
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@@ -24,6 +24,9 @@ test: ## Run tests
doc: ## Update documentation doc: ## Update documentation
make -C docs --makefile=Makefile html make -C docs --makefile=Makefile html
doc-clean: ## Update documentation
make -C docs --makefile=Makefile clean
help: ## Show help message help: ## Show help message
@IFS=$$'\n' ; \ @IFS=$$'\n' ; \
help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \ help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \
@@ -39,4 +42,4 @@ help: ## Show help message
printf "%-20s %s" $$help_command ; \ printf "%-20s %s" $$help_command ; \
printf '\033[0m'; \ printf '\033[0m'; \
printf "%s\n" $$help_info; \ printf "%s\n" $$help_info; \
done done

1
README.md
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@@ -1,6 +1,7 @@
![CI](https://github.com/Doctorado-ML/STree/workflows/CI/badge.svg) ![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) [![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) [![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

4
docs/source/conf.py
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@@ -12,6 +12,7 @@
# #
import os import os
import sys import sys
import stree
sys.path.insert(0, os.path.abspath("../../stree/")) sys.path.insert(0, os.path.abspath("../../stree/"))
@@ -23,7 +24,8 @@ copyright = "2020 - 2021, Ricardo Montañana Gómez"
author = "Ricardo Montañana Gómez" author = "Ricardo Montañana Gómez"
# The full version, including alpha/beta/rc tags # The full version, including alpha/beta/rc tags
release = "1.0" version = stree.__version__
release = version
# -- General configuration --------------------------------------------------- # -- General configuration ---------------------------------------------------

1
docs/source/stree.md
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@@ -3,6 +3,7 @@
[![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) [![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) [![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) [![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. 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.