packages feed

datasets 0.2 → 0.2.0.1

raw patch · 5 files changed

+168/−1 lines, 5 filesdep ~base

Dependency ranges changed: base

Files

+ changelog.md view
@@ -0,0 +1,9 @@+0.2.0.1++* Bugfix: include embedded data files in cabal extra-source-files++0.2++* iris dataset is a pure value (with file-embed)++* Michelson, Nightingale and BostonHousing datasets
+ datafiles/iris.data view
@@ -0,0 +1,151 @@+5.1,3.5,1.4,0.2,Iris-setosa+4.9,3.0,1.4,0.2,Iris-setosa+4.7,3.2,1.3,0.2,Iris-setosa+4.6,3.1,1.5,0.2,Iris-setosa+5.0,3.6,1.4,0.2,Iris-setosa+5.4,3.9,1.7,0.4,Iris-setosa+4.6,3.4,1.4,0.3,Iris-setosa+5.0,3.4,1.5,0.2,Iris-setosa+4.4,2.9,1.4,0.2,Iris-setosa+4.9,3.1,1.5,0.1,Iris-setosa+5.4,3.7,1.5,0.2,Iris-setosa+4.8,3.4,1.6,0.2,Iris-setosa+4.8,3.0,1.4,0.1,Iris-setosa+4.3,3.0,1.1,0.1,Iris-setosa+5.8,4.0,1.2,0.2,Iris-setosa+5.7,4.4,1.5,0.4,Iris-setosa+5.4,3.9,1.3,0.4,Iris-setosa+5.1,3.5,1.4,0.3,Iris-setosa+5.7,3.8,1.7,0.3,Iris-setosa+5.1,3.8,1.5,0.3,Iris-setosa+5.4,3.4,1.7,0.2,Iris-setosa+5.1,3.7,1.5,0.4,Iris-setosa+4.6,3.6,1.0,0.2,Iris-setosa+5.1,3.3,1.7,0.5,Iris-setosa+4.8,3.4,1.9,0.2,Iris-setosa+5.0,3.0,1.6,0.2,Iris-setosa+5.0,3.4,1.6,0.4,Iris-setosa+5.2,3.5,1.5,0.2,Iris-setosa+5.2,3.4,1.4,0.2,Iris-setosa+4.7,3.2,1.6,0.2,Iris-setosa+4.8,3.1,1.6,0.2,Iris-setosa+5.4,3.4,1.5,0.4,Iris-setosa+5.2,4.1,1.5,0.1,Iris-setosa+5.5,4.2,1.4,0.2,Iris-setosa+4.9,3.1,1.5,0.1,Iris-setosa+5.0,3.2,1.2,0.2,Iris-setosa+5.5,3.5,1.3,0.2,Iris-setosa+4.9,3.1,1.5,0.1,Iris-setosa+4.4,3.0,1.3,0.2,Iris-setosa+5.1,3.4,1.5,0.2,Iris-setosa+5.0,3.5,1.3,0.3,Iris-setosa+4.5,2.3,1.3,0.3,Iris-setosa+4.4,3.2,1.3,0.2,Iris-setosa+5.0,3.5,1.6,0.6,Iris-setosa+5.1,3.8,1.9,0.4,Iris-setosa+4.8,3.0,1.4,0.3,Iris-setosa+5.1,3.8,1.6,0.2,Iris-setosa+4.6,3.2,1.4,0.2,Iris-setosa+5.3,3.7,1.5,0.2,Iris-setosa+5.0,3.3,1.4,0.2,Iris-setosa+7.0,3.2,4.7,1.4,Iris-versicolor+6.4,3.2,4.5,1.5,Iris-versicolor+6.9,3.1,4.9,1.5,Iris-versicolor+5.5,2.3,4.0,1.3,Iris-versicolor+6.5,2.8,4.6,1.5,Iris-versicolor+5.7,2.8,4.5,1.3,Iris-versicolor+6.3,3.3,4.7,1.6,Iris-versicolor+4.9,2.4,3.3,1.0,Iris-versicolor+6.6,2.9,4.6,1.3,Iris-versicolor+5.2,2.7,3.9,1.4,Iris-versicolor+5.0,2.0,3.5,1.0,Iris-versicolor+5.9,3.0,4.2,1.5,Iris-versicolor+6.0,2.2,4.0,1.0,Iris-versicolor+6.1,2.9,4.7,1.4,Iris-versicolor+5.6,2.9,3.6,1.3,Iris-versicolor+6.7,3.1,4.4,1.4,Iris-versicolor+5.6,3.0,4.5,1.5,Iris-versicolor+5.8,2.7,4.1,1.0,Iris-versicolor+6.2,2.2,4.5,1.5,Iris-versicolor+5.6,2.5,3.9,1.1,Iris-versicolor+5.9,3.2,4.8,1.8,Iris-versicolor+6.1,2.8,4.0,1.3,Iris-versicolor+6.3,2.5,4.9,1.5,Iris-versicolor+6.1,2.8,4.7,1.2,Iris-versicolor+6.4,2.9,4.3,1.3,Iris-versicolor+6.6,3.0,4.4,1.4,Iris-versicolor+6.8,2.8,4.8,1.4,Iris-versicolor+6.7,3.0,5.0,1.7,Iris-versicolor+6.0,2.9,4.5,1.5,Iris-versicolor+5.7,2.6,3.5,1.0,Iris-versicolor+5.5,2.4,3.8,1.1,Iris-versicolor+5.5,2.4,3.7,1.0,Iris-versicolor+5.8,2.7,3.9,1.2,Iris-versicolor+6.0,2.7,5.1,1.6,Iris-versicolor+5.4,3.0,4.5,1.5,Iris-versicolor+6.0,3.4,4.5,1.6,Iris-versicolor+6.7,3.1,4.7,1.5,Iris-versicolor+6.3,2.3,4.4,1.3,Iris-versicolor+5.6,3.0,4.1,1.3,Iris-versicolor+5.5,2.5,4.0,1.3,Iris-versicolor+5.5,2.6,4.4,1.2,Iris-versicolor+6.1,3.0,4.6,1.4,Iris-versicolor+5.8,2.6,4.0,1.2,Iris-versicolor+5.0,2.3,3.3,1.0,Iris-versicolor+5.6,2.7,4.2,1.3,Iris-versicolor+5.7,3.0,4.2,1.2,Iris-versicolor+5.7,2.9,4.2,1.3,Iris-versicolor+6.2,2.9,4.3,1.3,Iris-versicolor+5.1,2.5,3.0,1.1,Iris-versicolor+5.7,2.8,4.1,1.3,Iris-versicolor+6.3,3.3,6.0,2.5,Iris-virginica+5.8,2.7,5.1,1.9,Iris-virginica+7.1,3.0,5.9,2.1,Iris-virginica+6.3,2.9,5.6,1.8,Iris-virginica+6.5,3.0,5.8,2.2,Iris-virginica+7.6,3.0,6.6,2.1,Iris-virginica+4.9,2.5,4.5,1.7,Iris-virginica+7.3,2.9,6.3,1.8,Iris-virginica+6.7,2.5,5.8,1.8,Iris-virginica+7.2,3.6,6.1,2.5,Iris-virginica+6.5,3.2,5.1,2.0,Iris-virginica+6.4,2.7,5.3,1.9,Iris-virginica+6.8,3.0,5.5,2.1,Iris-virginica+5.7,2.5,5.0,2.0,Iris-virginica+5.8,2.8,5.1,2.4,Iris-virginica+6.4,3.2,5.3,2.3,Iris-virginica+6.5,3.0,5.5,1.8,Iris-virginica+7.7,3.8,6.7,2.2,Iris-virginica+7.7,2.6,6.9,2.3,Iris-virginica+6.0,2.2,5.0,1.5,Iris-virginica+6.9,3.2,5.7,2.3,Iris-virginica+5.6,2.8,4.9,2.0,Iris-virginica+7.7,2.8,6.7,2.0,Iris-virginica+6.3,2.7,4.9,1.8,Iris-virginica+6.7,3.3,5.7,2.1,Iris-virginica+7.2,3.2,6.0,1.8,Iris-virginica+6.2,2.8,4.8,1.8,Iris-virginica+6.1,3.0,4.9,1.8,Iris-virginica+6.4,2.8,5.6,2.1,Iris-virginica+7.2,3.0,5.8,1.6,Iris-virginica+7.4,2.8,6.1,1.9,Iris-virginica+7.9,3.8,6.4,2.0,Iris-virginica+6.4,2.8,5.6,2.2,Iris-virginica+6.3,2.8,5.1,1.5,Iris-virginica+6.1,2.6,5.6,1.4,Iris-virginica+7.7,3.0,6.1,2.3,Iris-virginica+6.3,3.4,5.6,2.4,Iris-virginica+6.4,3.1,5.5,1.8,Iris-virginica+6.0,3.0,4.8,1.8,Iris-virginica+6.9,3.1,5.4,2.1,Iris-virginica+6.7,3.1,5.6,2.4,Iris-virginica+6.9,3.1,5.1,2.3,Iris-virginica+5.8,2.7,5.1,1.9,Iris-virginica+6.8,3.2,5.9,2.3,Iris-virginica+6.7,3.3,5.7,2.5,Iris-virginica+6.7,3.0,5.2,2.3,Iris-virginica+6.3,2.5,5.0,1.9,Iris-virginica+6.5,3.0,5.2,2.0,Iris-virginica+6.2,3.4,5.4,2.3,Iris-virginica+5.9,3.0,5.1,1.8,Iris-virginica+
+ datafiles/michelson.json view
@@ -0,0 +1,1 @@+[[299.85,299.74,299.9,300.07,299.93,299.85,299.95,299.98,299.98,299.88,300,299.98,299.93,299.65,299.76,299.81,300,300,299.96,299.96],[299.96,299.94,299.96,299.94,299.88,299.8,299.85,299.88,299.9,299.84,299.83,299.79,299.81,299.88,299.88,299.83,299.8,299.79,299.76,299.8],[299.88,299.88,299.88,299.86,299.72,299.72,299.62,299.86,299.97,299.95,299.88,299.91,299.85,299.87,299.84,299.84,299.85,299.84,299.84,299.84],[299.89,299.81,299.81,299.82,299.8,299.77,299.76,299.74,299.75,299.76,299.91,299.92,299.89,299.86,299.88,299.72,299.84,299.85,299.85,299.78],[299.89,299.84,299.78,299.81,299.76,299.81,299.79,299.81,299.82,299.85,299.87,299.87,299.81,299.74,299.81,299.94,299.95,299.8,299.81,299.87]]
+ datafiles/nightingale.json view
@@ -0,0 +1,1 @@+[{"date":"1854-04-01T07:00:00.000Z","army_size":8571,"disease":1,"wounds":0,"other":5},{"date":"1854-05-01T07:00:00.000Z","army_size":23333,"disease":12,"wounds":0,"other":9},{"date":"1854-06-01T07:00:00.000Z","army_size":28333,"disease":11,"wounds":0,"other":6},{"date":"1854-07-01T07:00:00.000Z","army_size":28722,"disease":359,"wounds":0,"other":23},{"date":"1854-08-01T07:00:00.000Z","army_size":30246,"disease":828,"wounds":1,"other":30},{"date":"1854-09-01T07:00:00.000Z","army_size":30290,"disease":788,"wounds":81,"other":70},{"date":"1854-10-01T07:00:00.000Z","army_size":30643,"disease":503,"wounds":132,"other":128},{"date":"1854-11-01T07:00:00.000Z","army_size":29736,"disease":844,"wounds":287,"other":106},{"date":"1854-12-01T08:00:00.000Z","army_size":32779,"disease":1725,"wounds":114,"other":131},{"date":"1855-01-01T08:00:00.000Z","army_size":32393,"disease":2761,"wounds":83,"other":324},{"date":"1855-02-01T08:00:00.000Z","army_size":30919,"disease":2120,"wounds":42,"other":361},{"date":"1855-03-01T08:00:00.000Z","army_size":30107,"disease":1205,"wounds":32,"other":172},{"date":"1855-04-01T07:00:00.000Z","army_size":32252,"disease":477,"wounds":48,"other":57},{"date":"1855-05-01T07:00:00.000Z","army_size":35473,"disease":508,"wounds":49,"other":37},{"date":"1855-06-01T07:00:00.000Z","army_size":38863,"disease":802,"wounds":209,"other":31},{"date":"1855-07-01T07:00:00.000Z","army_size":42647,"disease":382,"wounds":134,"other":33},{"date":"1855-08-01T07:00:00.000Z","army_size":44614,"disease":483,"wounds":164,"other":25},{"date":"1855-09-01T07:00:00.000Z","army_size":47751,"disease":189,"wounds":276,"other":20},{"date":"1855-10-01T07:00:00.000Z","army_size":46852,"disease":128,"wounds":53,"other":18},{"date":"1855-11-01T07:00:00.000Z","army_size":37853,"disease":178,"wounds":33,"other":32},{"date":"1855-12-01T08:00:00.000Z","army_size":43217,"disease":91,"wounds":18,"other":28},{"date":"1856-01-01T08:00:00.000Z","army_size":44212,"disease":42,"wounds":2,"other":48},{"date":"1856-02-01T08:00:00.000Z","army_size":43485,"disease":24,"wounds":0,"other":19},{"date":"1856-03-01T08:00:00.000Z","army_size":46140,"disease":15,"wounds":0,"other":35}]
datasets.cabal view
@@ -1,5 +1,5 @@ Name:                datasets-Version:             0.2+Version:             0.2.0.1 Synopsis:            Classical data sets for statistics and machine learning Description:         Classical machine learning and statistics datasets from                      the UCI Machine Learning Repository and other sources.@@ -35,6 +35,11 @@ homepage:            https://github.com/glutamate/datasets bug-reports:         https://github.com/glutamate/datasets/issues category:            Statistics, Machine Learning, Data Mining, Data+extra-source-files:+                   changelog.md+                   datafiles/iris.data+                   datafiles/michelson.json+                   datafiles/nightingale.json  source-repository head   type:     git