openclean.embedding.feature.length module
Feature function that computes normalized length for string representations of values in a list.
- class openclean.embedding.feature.length.NormalizedLength(normalizer=None)
Bases:
openclean.function.value.base.ValueFunctionValue function that computes a normalized length for the string representation of values in a given list.
- eval(value)
Return the normalized frequency for the given value.
- Parameters
value (scalar or tuple) – Value from the list that was used to prepare the function.
- Return type
float
- is_prepared()
The object still requires preparation if the normalization function is still None.
- Return type
bool
- prepare(values)
Compute the frequency for each value to be used as the feature function. Then initialize the normalization function using the list of value frequencies.
- Parameters
values (list) – List of value sin the stream.
- Return type