python3-ml-collections
collections designed for ML usecases
Description
The package provices two classes called ConfigDict and FrozenConfigDict that are "dict-like" data structures with dot access to nested elements. Together, they are supposed to be used as a main way of expressing configurations of experiments and models. Features: * Dot-based access to fields.
* Locking mechanism to prevent spelling mistakes.
* Lazy computation.
* FrozenConfigDict() class which is immutable and hashable.
* Type safety.
* "Did you mean" functionality.
* Human readable printing (with valid references and cycles), using
valid YAML format.
* Fields can be passed as keyword arguments using the ** operator.
There are two exceptions to the strong type-safety of the ConfigDict.
int values can be passed in to fields of type float. In such a case, the
value is type-converted to a float before being stored. Similarly,
all string types (including Unicode strings) can be stored in fields
of type str or unicode.Upload more screenshots
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Homepage
https://github.com/google/ml_collections
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