dataproc

In this module, functions for reading and processing datasets are defined.

Functions

conv_str_fl(data)	It converts string data to float for computation.
read_data(filename[, header])	It converts CSV file to NumPy arrays for further operations like training
read_libsvm(filename)	It reads LIBSVM data files for doing classification with TwinSVM Input: file_name: Path to the dataset file

dataproc.conv_str_fl(data)

It converts string data to float for computation.

dataproc.read_data(filename, header=True)

It converts CSV file to NumPy arrays for further operations like training

Input:

file_name: Path to the dataset file ignore_header: Ignoring first row of dataset because of header names

output:

data_samples: Training samples in NumPy array data_labels: labels of samples in NumPy array file_name: Name of dataset

dataproc.read_libsvm(filename)

It reads LIBSVM data files for doing classification with TwinSVM Input:

file_name: Path to the dataset file

output: data_samples: Training samples in NumPy array data_labels: labels of samples in NumPy array file_name: Name of dataset