How to import the dataset from CSV file in PyBrain

Recipe Objective - How to import the dataset from a CSV file in PyBrain?

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Let's try to import the iris dataset from a CSV file-

# Importing pandas
import pandas as pd

# Importing Classification Data set
from pybrain.datasets import ClassificationDataSet

# Importing iris data from csv file
iris = pd.read_csv("iris.csv")

# Label encoding the target variable
iris['Species'] = iris['Species'].replace({'Iris-setosa':0,'Iris-versicolor':1,'Iris-virginica':2})

# Defining feature variables and target variable
iris = iris.values
X_data = iris[:,0:4]
y_data = iris[:,4]

# Creating classification dataset model by defining 4 inputs, 1 output and 3 classes.
classification_dataset = ClassificationDataSet(4, 1, nb_classes=3)

# Adding data to classification dataset
for i in range(len(X_data)):
   classification_dataset.addSample(X_data[i], y_data[i])

# Data loaded into classification dataset from sklearn datasets
print(classification_dataset)


Output -
input: dim(254, 4)
[[5.1 3.5 1.4 0.2]
 [4.9 3.  1.4 0.2]
 [4.7 3.2 1.3 0.2]
 [4.6 3.1 1.5 0.2]
 .
 .
 .
 .
 [2]
 [2]]

class: dim(0, 1)
[]

In this way, we can import the dataset from a CSV file in PyBrain.

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