# scikit-datasets
Scikit-learn-compatible datasets
## Status
[![Build Status](https://travis-ci.org/daviddiazvico/scikit-datasets.svg?branch=master)](https://travis-ci.org/daviddiazvico/scikit-datasets)
[![Coverage Status](https://coveralls.io/repos/github/daviddiazvico/scikit-datasets/badge.svg)](https://coveralls.io/github/daviddiazvico/scikit-datasets)
[![Maintainability](https://api.codeclimate.com/v1/badges/a37c9ee152b41a0cb577/maintainability)](https://codeclimate.com/github/daviddiazvico/scikit-datasets/maintainability)
[![Test Coverage](https://api.codeclimate.com/v1/badges/a37c9ee152b41a0cb577/test_coverage)](https://codeclimate.com/github/daviddiazvico/scikit-datasets/test_coverage)
[![Code Health](https://landscape.io/github/daviddiazvico/scikit-datasets/master/landscape.svg?style=flat)](https://landscape.io/github/daviddiazvico/scikit-datasets/master)
## Installation
Available in [PyPI](https://pypi.python.org/pypi?:action=display&name=scikit-datasets)
```
pip install scikit-datasets
```
## Documentation
Autogenerated and hosted in [GitHub Pages](https://daviddiazvico.github.io/scikit-datasets/)
## Distribution
Run the following command from the project home to create the distribution
```
python setup.py sdist bdist_wheel
```
and upload the package to [testPyPI](https://testpypi.python.org/)
```
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
```
or [PyPI](https://pypi.python.org/)
```
twine upload dist/*
```
## Citation
If you find scikit-datasets useful, please cite it in your publications. You can use this [BibTeX](http://www.bibtex.org/) entry:
```
@misc{scikit-datasets,
title={scikit-datasets},
author={Diaz-Vico, David},
year={2017},
publisher={GitHub},
howpublished={\url{https://github.com/daviddiazvico/scikit-datasets}}}
```
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PyPI 官网下载 | scikit-datasets-0.1.10.tar.gz
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2022-01-16
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共206个文件
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txt:4个
pkg-info:2个
资源来自pypi官网。 资源全名:scikit-datasets-0.1.10.tar.gz
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PyPI 官网下载 | scikit-datasets-0.1.10.tar.gz (206个子文件)
setup.cfg 79B
README.md 2KB
PKG-INFO 869B
PKG-INFO 869B
base.py 9KB
base.py 6KB
base.py 4KB
base.py 3KB
__init__.py 3KB
base.py 2KB
__init__.py 2KB
__init__.py 2KB
satimage.py 1KB
adult.py 1KB
base.py 1KB
ijcnn1.py 1KB
satimage.py 1KB
shuttle.py 1KB
letter.py 1KB
combined.py 1KB
dna.py 1KB
news20.py 1KB
cleveland.py 1KB
setup.py 1KB
newthyroid.py 1KB
cod_rna.py 1018B
page_blocks_1_3_vs_4.py 1013B
pima_indians_diabetes.py 1005B
glass.py 1001B
cleveland_0_vs_4.py 997B
led7digit_0_2_4_5_6_7_8_9_vs_1.py 983B
forex.py 981B
balance.py 976B
abalone9_18.py 971B
abalone.py 966B
abalone19.py 960B
yeast.py 956B
nursery.py 947B
yearpredictionmsd.py 946B
covtype_binary.py 945B
ecoli.py 944B
ecoli_0_1_4_7_vs_2_3_5_6.py 937B
yeast_0_5_6_7_9_vs_4.py 931B
vowel0.py 929B
ecoli_0_1_3_7_vs_2_6.py 926B
glass_0_1_4_6_vs_2.py 926B
yeast_1_4_5_8_vs_7.py 921B
yeast_1_2_8_9_vs_7.py 921B
ecoli_0_3_4_7_vs_5_6.py 917B
glass_0_1_6_vs_2.py 916B
glass_0_1_6_vs_5.py 916B
bitcoin.py 914B
e2006_log1p.py 913B
shuttle_c0_vs_c4.py 910B
shuttle_c2_vs_c4.py 909B
ecoli_0_3_4_6_vs_5.py 907B
glass_0_6_vs_5.py 906B
glass_0_4_vs_5.py 906B
usps.py 902B
e2006_tfidf.py 901B
yeast_1_vs_7.py 891B
yeast_2_vs_8.py 891B
epsilon.py 885B
ecoli_0_1_4_7_vs_5_6.py 877B
pendigits.py 877B
ecoli_0_1_4_6_vs_5.py 867B
yeast5.py 861B
yeast6.py 861B
yeast4.py 861B
ecoli_0_6_7_vs_5.py 857B
ecoli4.py 856B
german_numer.py 850B
ecoli_0_1_vs_5.py 847B
australian.py 844B
triazines.py 837B
space_ga.py 830B
cpusmall.py 830B
a8a.py 825B
w8a.py 825B
a4a.py 825B
w7a.py 825B
glass2.py 824B
glass4.py 824B
glass5.py 824B
housing.py 823B
bodyfat.py 823B
abalone.py 823B
diabetes.py 822B
pyrim.py 809B
heart.py 801B
mpg.py 795B
mg.py 788B
skin_nonskin.py 713B
cadata.py 681B
test_combined.py 651B
test_news20.py 643B
test_led7digit_0_2_4_5_6_7_8_9_vs_1.py 581B
test_satimage.py 571B
test_shuttle.py 560B
test_ijcnn1.py 557B
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