Util

Here is a list of classes in the package.

Overview:

• DataSplitter

• Partitioner

• WeightedPartitioner

class neural_network.DataSplitter(path: str, proportions: List[int])

Class to split a dataset into training, validation and testing, given a split ratio.

__init__(path: str, proportions: List[int])

Constructor method

Parameters:

• path (str) – Path to the .csv file containing the data

• proportions (List) – The proportions in the sequence training:validation:testing

split() → Tuple[DataFrame, ...]

Main method for the class - splits the data into train:valid:test

Returns:

A tuple containing the training, validation and testing dataframes or fewer, if fewer proportions have been passed

Return type:

Tuple[pd.DataFrame, …]