"""Module of transformers.
A transformer transforms time series to extract useful information.
"""
from .._transformer_base import (
_NonTrainableMultivariateTransformer,
_NonTrainableUnivariateTransformer,
_TrainableMultivariateTransformer,
_TrainableUnivariateTransformer,
)
from .._utils import _get_all_subclasses_from_superclass
from ._transformer_1d import (
ClassicSeasonalDecomposition,
CustomizedTransformer1D,
DoubleRollingAggregate,
Retrospect,
RollingAggregate,
StandardScale,
)
from ._transformer_hd import (
CustomizedTransformerHD,
PcaProjection,
PcaReconstruction,
PcaReconstructionError,
RegressionResidual,
SumAll,
)
[docs]def print_all_models() -> None:
"""
Print description of every model in this module.
"""
model_desc = _get_all_subclasses_from_superclass(
_NonTrainableUnivariateTransformer
)
model_desc.update(
_get_all_subclasses_from_superclass(
_NonTrainableMultivariateTransformer
)
)
model_desc.update(
_get_all_subclasses_from_superclass(_TrainableUnivariateTransformer)
)
model_desc.update(
_get_all_subclasses_from_superclass(_TrainableMultivariateTransformer)
)
for key, value in model_desc.items():
print("-" * 80)
print(key)
print(value)
__all__ = [
"RollingAggregate",
"DoubleRollingAggregate",
"ClassicSeasonalDecomposition",
"Retrospect",
"StandardScale",
"CustomizedTransformer1D",
"RegressionResidual",
"PcaProjection",
"PcaReconstruction",
"PcaReconstructionError",
"SumAll",
"CustomizedTransformerHD",
"print_all_models",
]