From db8a87049599fb8ae3ddd4c437c8568f1313aeb2 Mon Sep 17 00:00:00 2001
From: Mirko Bunse <mirko.bunse@cs.tu-dortmund.de>
Date: Tue, 17 Sep 2024 10:48:53 +0200
Subject: [PATCH] Instruct the user how to install qunfold in the case of an
unsuccessful import
---
quapy/method/composable.py | 90 +++++++++++++++++++++-----------------
1 file changed, 51 insertions(+), 39 deletions(-)
diff --git a/quapy/method/composable.py b/quapy/method/composable.py
index aa00be4..5d40aad 100644
--- a/quapy/method/composable.py
+++ b/quapy/method/composable.py
@@ -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."""
-import qunfold
-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,
-)
+_import_error_message = """qunfold, the back-end of quapy.method.composable, is not properly installed.
-__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",
-]
+To fix this error, call:
+
+ pip install --upgrade pip setuptools wheel
+ pip install "jax[cpu]"
+ pip install "qunfold @ git+https://github.com/mirkobunse/qunfold@v0.1.4"
+"""
+
+try:
+ import qunfold
+ 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
+ "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):
"""A generic quantification / unfolding method that solves a linear system of equations.