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;
Float32x4nterceptPreprocessorThis preprocessor adds an intercept to a given matrix. Intercept is a kind of 'bias' for hyperline equation.