Module core_framework 

Core transform framework for data transformations

This module provides the fundamental building blocks for data transformations, including core traits, combinators, and basic transform implementations.

Features

• Transform trait: Core abstraction for data transformations
• Transform combinators: Chain, conditional, and composition operations
• Builder pattern: TransformBuilder trait for complex transform construction
• Extension traits: Convenient chainable API via TransformExt
• Basic transforms: Normalize, type conversion, and lambda transforms

Structs

Chain

Chain two transforms together sequentially

Compose

Compose multiple transforms that operate on the same type

Conditional

Conditionally apply a transform based on a predicate

Lambda

Apply a custom function as a transform

Normalize

Normalize tensor values using mean and standard deviation

ToType

Convert tensor from one type to another

Traits

Transform

Trait for data transformations

TransformBuilder

Builder trait for transforms with configuration options

TransformExt

Extension trait for chainable transform operations

Functions

compose

Convenience function to create a composition transform

lambda

Convenience function to create a lambda transform

normalize

Convenience function to create a normalize transform

to_type

Convenience function to create a type conversion transform