contrib.training.parse_values

tf.contrib.training.parse_values

tf.contrib.training.parse_values

parse_values(
    values,
    type_map
)

Defined in tensorflow/contrib/training/python/training/hparam.py.

Parses hyperparameter values from a string into a python map..

values is a string containing comma-separated name=value pairs. For each pair, the value of the hyperparameter named name is set to value.

If a hyperparameter name appears multiple times in values, the last value is used.

The value in name=value must follows the syntax according to the type of the parameter:

• Scalar integer: A Python-parsable integer point value. E.g.: 1, 100, -12.
• Scalar float: A Python-parsable floating point value. E.g.: 1.0, -.54e89.
• Boolean: Either true or false.
• Scalar string: A non-empty sequence of characters, excluding comma, spaces, and square brackets. E.g.: foo, bar_1.
• List: A comma separated list of scalar values of the parameter type enclosed in square backets. E.g.: [1,2,3], [1.0,1e-12], [high,low].

Args:

• values: String. Comma separated list of name=value pairs where 'value' must follow the syntax described above.
• type_map: A dictionary mapping hyperparameter names to types. Note every parameter name in values must be a key in type_map. The values must conform to the types indicated, where a value V is said to conform to a type T if either V has type T, or V is a list of elements of type T. Hence, for a multidimensional parameter 'x' taking float values, 'x=[0.1,0.2]' will parse successfully if type_map['x'] = float.

Returns:

A python map containing the name, value pairs.

Raises:

• ValueError: If values cannot be parsed.