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[ 原始碼： python-ml-collections  ]

套件：python3-ml-collections（0.1.1-3）

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collections designed for ML usecases

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.

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