functions-lib 0.1.0

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Data Transformation Library

A Python library for common data transformations used in machine learning models.

Installation

You can install the library using pip:

Functions

Transpose

The transpose2d function transposes a 2-dimensional matrix. It takes a 2-dimensional list as input and returns the transposed matrix.

Time Series Windowing

The window1d function creates sliding windows of a specified size from a 1-dimensional array. It takes an input array, window size, shift value, and stride value as arguments and returns a list of sliding windows.

Cross-Correlation

The convolution2d function performs cross-correlation between a 2-dimensional input matrix and a kernel. It takes a numpy array for the input matrix, kernel, and an optional stride value. It returns the result of the cross-correlation operation.