ml_preprocessing 1.1.0

Implementaion of popular algorithms of data preprocessing for machine learning

ml_preprocessing

Implementation of popular data preprocessing algorithms for Machine learning

The library contains:

• A data container Float32x4CsvMlData. This entity makes work with csv data easier: you just need to point, where your dataset resides and then get features and labels in convenient data science friendly format. As you see, the data container converts data into sequence of numbers of Float32x4 type, which makes machine learning process faster;

• Intercept preprocessor Float32x4nterceptPreprocessor This preprocessor adds an intercept to a given matrix. Intercept is a kind of 'bias' for hyperline equation.