stk.NormalizerSequence
- class stk.NormalizerSequence(fitness_normalizers)[source]
Bases:
FitnessNormalizer
[T
]Applies other normalizers in sequence.
Examples
Using Multiple Fitness Normalizers
You want to apply multiple fitness normalizations in sequence, for example, by first using
DivideByMean
, followed bySum
import stk import numpy as np building_block = stk.BuildingBlock('BrCCBr', stk.BromoFactory()) record = stk.MoleculeRecord( topology_graph=stk.polymer.Linear( building_blocks=[building_block], repeating_unit='A', num_repeating_units=2, ), ) fitness_values = { record: (1, 100, 1000), } # Create the normalizer. normalizer = stk.NormalizerSequence( fitness_normalizers=[ stk.DivideByMean(), stk.Sum(), ], ) normalized_fitness_values = normalizer.normalize(fitness_values) assert normalized_fitness_values[record] == 3
- Parameters:
fitness_normalizers (list[FitnessNormalizer[T]]) – The
FitnessNormalizer
instances which should be used in sequence.
Methods
Normalize some fitness values.