In [1]:

    

from pml.api import *


    

In [2]:

    

data = load("../dataset_ext2.csv")
data = data.drop_empty_samples()


    

In [3]:

    

data.get_label_value_counts()


    

    
Out[3]:





f    30
s    26
p    16

In [4]:

    

data.get_data_frame().to_csv("data_features.csv")


    

In [5]:

    

# Writes the string values which Octave has trouble reading
data.get_labels().to_csv("data_labels.csv")


    

In [6]:

    

# Convert to integer codes representing the labels
data.combine_labels(["s"], 1)
data.combine_labels(["p"], 2)
data.combine_labels(["f"], 3)

data.get_labels().to_csv("data_labels_int_coded.csv")


    

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