3 functions for for sprint 2.1 module
Project description
Data Transformation Library
Project description
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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