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How Google uses logic in machine learning
Class Inheritance Causes Many Problems
- The tight coupling problem (class inheritance is the tightest coupling available in oo design), which leads to the next one…
- The fragile base class problem
- Inflexible hierarchy problem (eventually, all evolving hierarchies are wrong for new uses)
- The duplication by necessity problem (due to inflexible hierarchies, new use cases are often shoe-horned in by duplicating, rather than adapting existing code)
- The Gorilla/banana problem (What you wanted was a banana, but what you got was a gorilla holding the banana, and the entire jungle).
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What’s the Difference Between Class & Prototypal Inheritance?
- Class Inheritance: A class is like a blueprint — a description of the object to be created. Classes inherit from classes and create subclass relationships: hierarchical class taxonomies.
- Prototypal Inheritance: A prototype is a working object instance. Objects inherit directly from o...
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There Are Three Kinds of Prototypal OO
- Concatenative inheritance: The process of inheriting features directly from one object to another by copying the source objects properties.
- Prototype delegation: If a property is not found on the object, the lookup is delegated...
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Other curated ideas on this topic:
What does “favor object composition over class inheritance” mean?
Good to hear:
- Avoid class hierarchies.
- Avoid brittle base class problem.
- Avoid tight coupling.
- Avoid rigid taxonomy.
- Avoid the gorilla banana problem.
- Make code more flexible.
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