Source code for ax.modelbridge.transforms.task_encode
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from typing import Dict, List, Optional
from ax.core.observation import ObservationData, ObservationFeatures
from ax.core.parameter import ChoiceParameter
from ax.core.search_space import SearchSpace
from ax.core.types import TConfig, TParamValue
from ax.modelbridge.transforms.ordered_choice_encode import OrderedChoiceEncode
[docs]class TaskEncode(OrderedChoiceEncode):
"""Convert task ChoiceParameters to unit length RangeParameters.
Parameters will be transformed to an integer RangeParameter,
mapped from the original choice domain to a contiguous range from [0, n_choices].
In the inverse transform, parameters will be mapped back onto the original domain.
Transform is done in-place.
"""
def __init__(
self,
search_space: SearchSpace,
observation_features: List[ObservationFeatures],
observation_data: List[ObservationData],
config: Optional[TConfig] = None,
) -> None:
# Identify parameters that should be transformed
self.encoded_parameters: Dict[str, Dict[TParamValue, int]] = {}
for p in search_space.parameters.values():
if isinstance(p, ChoiceParameter) and p.is_task:
self.encoded_parameters[p.name] = {
original_value: transformed_value
for transformed_value, original_value in enumerate(p.values)
}
self.encoded_parameters_inverse: Dict[str, Dict[int, TParamValue]] = {
p_name: {
transformed_value: original_value
for original_value, transformed_value in transforms.items()
}
for p_name, transforms in self.encoded_parameters.items()
}