irisDataSet.py

# -*- coding: utf-8 -*-
"""
Created on Sun Nov 13 13:58:49 2016

@author: anooptp
"""
# import load_iris function from datasets module
from sklearn.datasets import load_iris

# save "bunch" object containing iris dataset and its attributes
iris = load_iris()
print (type(iris))

#print the iris data
#print (iris.data)

# print the names of the four features
print(iris.feature_names)

# print integers representing the species of each observation
# print(iris.target)

# print the encoding scheme for species: 0 = setosa, 1 = versicolor, 2 = virginica
print(iris.target_names)

# check the types of the features and response
print(type(iris.data))
print(type(iris.target))

# check the shape of the features (first dimension = number of observations, second dimensions = number of features)
print(iris.data.shape)

# check the shape of the response (single dimension matching the number of observations)
print(iris.target.shape)

# store feature matrix in "X"
X = iris.data

# store response vector in "y"
y = iris.target

print (y)