Fix #1142: SyntaxWarning: Invalid escape sequences in calibration.py do

docs/api/metrics.rst

@@ -5,7 +5,7 @@ We provide easy to use metrics (the same style and args as `sklearn.metrics`) fo
 multiclass classification, multilabel classification.
 For applicable tasks, we provide the relevant metrics for model calibration, as well as those for prediction set evaluation.
 Among these we also provide metrics related to uncertainty quantification, for model calibration, as well as metrics that measure the quality of prediction sets
-We also provide other metrics specically for healthcare
+We also provide other metrics specifically for healthcare
 tasks, such as drug drug interaction (DDI) rate.
 For synthetic (generative) EHR data, we provide privacy, utility, and statistical
 fidelity metrics.

examples/cardiology_detection_isAR_SparcNet.py

@@ -1,3 +1,5 @@
+"""Cardiology arrhythmia detection using SparcNet."""
+
 from pyhealth.datasets import split_by_visit, get_dataloader
 from pyhealth.trainer import Trainer
 from pyhealth.datasets import CardiologyDataset

pyhealth/metrics/calibration.py

@@ -99,7 +99,7 @@ def _ECE_classwise(prob:np.ndarray, label_onehot:np.ndarray, bins=20, threshold=
     return summs, class_losses
 
 def ece_confidence_multiclass(prob:np.ndarray, label:np.ndarray, bins=20, adaptive=False):
-    """Expected Calibration Error (ECE).
+    r"""Expected Calibration Error (ECE).
 
     We group samples into 'bins' basing on the top-class prediction.
     Then, we compute the absolute difference between the average top-class prediction and
@@ -133,7 +133,7 @@ def ece_confidence_multiclass(prob:np.ndarray, label:np.ndarray, bins=20, adapti
     return _ECE_confidence(df, bins, adaptive)[1]
 
 def ece_confidence_binary(prob:np.ndarray, label:np.ndarray, bins=20, adaptive=False):
-    """Expected Calibration Error (ECE) for binary classification.
+    r"""Expected Calibration Error (ECE) for binary classification.
 
     Similar to :func:`ece_confidence_multiclass`, but on class 1 instead of the top-prediction.