Project description

Data Transformation Library

3 functions that are common for transforming data used in machine learning models.

Transpose signature: transpose2d(input_matrix: list[list[float]]) -> list
Time Series Windowing signature: window1d(input_array: list | np.ndarray, size: int, shift: int = 1, stride: int = 1) -> list[list | np.ndarray]
Cross-Correlation signature: convolution2d(input_matrix: np.ndarray, kernel: np.ndarray, stride : int = 1) -> np.ndarray

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This version

0.1.3

Aug 24, 2023

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Uploaded Aug 24, 2023 Source

Uploaded Aug 24, 2023 Python 3

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