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Instruct the user how to install qunfold in the case of an unsuccessful import

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Mirko Bunse 2024-09-17 10:48:53 +02:00
parent 9be729386a
commit db8a870495
1 changed files with 51 additions and 39 deletions
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quapy/method/composable.py
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@ -1,45 +1,57 @@
"""This module allows the composition of quantification methods from loss functions and feature transformations. This functionality is realized through an integration of the qunfold package: https://github.com/mirkobunse/qunfold.""" """This module allows the composition of quantification methods from loss functions and feature transformations. This functionality is realized through an integration of the qunfold package: https://github.com/mirkobunse/qunfold."""
import qunfold _import_error_message = """qunfold, the back-end of quapy.method.composable, is not properly installed.
from qunfold.quapy import QuaPyWrapper
from qunfold.sklearn import CVClassifier
from qunfold import (
LeastSquaresLoss, # losses
BlobelLoss,
EnergyLoss,
HellingerSurrogateLoss,
CombinedLoss,
TikhonovRegularization,
TikhonovRegularized,
ClassTransformer, # transformers
HistogramTransformer,
DistanceTransformer,
KernelTransformer,
EnergyKernelTransformer,
LaplacianKernelTransformer,
GaussianKernelTransformer,
GaussianRFFKernelTransformer,
)
__all__ = [ # control public members, e.g., for auto-documentation in sphinx; omit QuaPyWrapper To fix this error, call:
"ComposableQuantifier",
"CVClassifier", pip install --upgrade pip setuptools wheel
"LeastSquaresLoss", pip install "jax[cpu]"
"BlobelLoss", pip install "qunfold @ git+https://github.com/mirkobunse/qunfold@v0.1.4"
"EnergyLoss", """
"HellingerSurrogateLoss",
"CombinedLoss", try:
"TikhonovRegularization", import qunfold
"TikhonovRegularized", from qunfold.quapy import QuaPyWrapper
"ClassTransformer", from qunfold.sklearn import CVClassifier
"HistogramTransformer", from qunfold import (
"DistanceTransformer", LeastSquaresLoss, # losses
"KernelTransformer", BlobelLoss,
"EnergyKernelTransformer", EnergyLoss,
"LaplacianKernelTransformer", HellingerSurrogateLoss,
"GaussianKernelTransformer", CombinedLoss,
"GaussianRFFKernelTransformer", TikhonovRegularization,
] TikhonovRegularized,
ClassTransformer, # transformers
HistogramTransformer,
DistanceTransformer,
KernelTransformer,
EnergyKernelTransformer,
LaplacianKernelTransformer,
GaussianKernelTransformer,
GaussianRFFKernelTransformer,
)
__all__ = [ # control public members, e.g., for auto-documentation in sphinx; omit QuaPyWrapper
"ComposableQuantifier",
"CVClassifier",
"LeastSquaresLoss",
"BlobelLoss",
"EnergyLoss",
"HellingerSurrogateLoss",
"CombinedLoss",
"TikhonovRegularization",
"TikhonovRegularized",
"ClassTransformer",
"HistogramTransformer",
"DistanceTransformer",
"KernelTransformer",
"EnergyKernelTransformer",
"LaplacianKernelTransformer",
"GaussianKernelTransformer",
"GaussianRFFKernelTransformer",
]
except ImportError as e:
raise ImportError(_import_error_message) from e
def ComposableQuantifier(loss, transformer, **kwargs): def ComposableQuantifier(loss, transformer, **kwargs):
"""A generic quantification / unfolding method that solves a linear system of equations. """A generic quantification / unfolding method that solves a linear system of equations.