v0.1.23 – add Embedding layer

This release includes the following changes and improvements:

Improved Training Speed:
The model training routines have been optimized to reduce training time while maintaining accuracy.

Cross‑Validation Bug Fix:
Fixed an issue in the cross‑validation splitting logic so that the splits now correctly cover the dataset without overlap errors.

Enhanced Scaling Methods:
New scaling options have been added to the preprocessing module to better support various data distributions (e.g., additional robust scaling techniques).

Evaluation and Metric Factory Updates:
The evaluation framework now offers a more flexible Metric Factory that allows users to easily add or modify evaluation metrics.

Logging Improvements:
The logging utility now ensures that log files are correctly created (with directory creation if necessary) and provides more informative output during both training and inference.

General Code Clean‑up:
Minor bug fixes and code refactoring have been performed to improve overall code readability and maintainability.

add Embedding layer custom for Time series

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