Source code for vak.config.config
import attr
from attr.validators import instance_of, optional
from .eval import EvalConfig
from .learncurve import LearncurveConfig
from .predict import PredictConfig
from .prep import PrepConfig
from .spect_params import SpectParamsConfig
from .train import TrainConfig
[docs]
@attr.s
class Config:
"""class to represent config.toml file
Attributes
----------
prep : vak.config.prep.PrepConfig
represents ``[PREP]`` section of config.toml file
spect_params : vak.config.spect_params.SpectParamsConfig
represents ``[SPECT_PARAMS]`` section of config.toml file
train : vak.config.train.TrainConfig
represents ``[TRAIN]`` section of config.toml file
eval : vak.config.eval.EvalConfig
represents ``[EVAL]`` section of config.toml file
predict : vak.config.predict.PredictConfig
represents ``[PREDICT]`` section of config.toml file.
learncurve : vak.config.learncurve.LearncurveConfig
represents ``[LEARNCURVE]`` section of config.toml file
"""
spect_params = attr.ib(
validator=instance_of(SpectParamsConfig), default=SpectParamsConfig()
)
prep = attr.ib(validator=optional(instance_of(PrepConfig)), default=None)
train = attr.ib(validator=optional(instance_of(TrainConfig)), default=None)
eval = attr.ib(validator=optional(instance_of(EvalConfig)), default=None)
predict = attr.ib(
validator=optional(instance_of(PredictConfig)), default=None
)
learncurve = attr.ib(
validator=optional(instance_of(LearncurveConfig)), default=None
)