revised menuscript v1

[nttg8100]

• Added seed to control randomness in train test split
• Refactored python project
• Fixed delta adding data types

[Copilot]

Pull request overview

This PR refactors the Python project structure and fixes several data handling issues. The main focus is adding seed control for reproducibility, consolidating package configuration, and fixing type handling in image normalization.

Key Changes

• Added seed parameter to control randomness in train-test splits for reproducible results
• Fixed float64 type casting issue in delta normalization to prevent data type errors
• Consolidated package configuration by migrating from Poetry to Pixi/hatchling build system

Reviewed changes

Copilot reviewed 11 out of 13 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
smartsensor/process/normalize.py	Fixed data type conversion and reformatted multi-line statements
smartsensor/model/split_data.py	Updated docstring, removed unused variable, and added capitalization to comment
smartsensor/model/partition.py	Removed entire deprecated file containing old train-test split implementation
smartsensor/model/metric.py	Updated return type annotation and reformatted multi-line expressions
smartsensor/model/formula.py	Removed deprecated custom prediction function
smartsensor/main.py	Added seed parameter with logging and reformatted option definitions
smartsensor/e2e.py	Added numpy import and seed initialization for reproducibility
pyproject.toml	Migrated from Poetry to Pixi/hatchling build system with updated dependencies
pixi.toml	Removed old Pixi configuration file (replaced by pyproject.toml)
README.md	Fixed typo, restructured documentation with usage examples and dataset citations
.gitattributes	Added configuration for pixi.lock file handling

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