Issues
- 0
IROF/IIOF num steps
#150 opened - 0
Add inverted property to result datasets
#133 opened - 0
Extend result structure
#129 opened - 0
Use np.trapz for AUC calculations
#126 opened - 1
Profiling
#125 opened - 0
Imagenet downsizing experiment
#124 opened - 0
Integrate more datasets
#123 opened - 1
Softmax option where applicable
#122 opened - 0
MoRF/LeRF options for del/ins
#121 opened - 0
Segmented infidelity
#120 opened - 0
Correlation infidelity
#119 opened - 0
Segmented sensitivity-n
#118 opened - 0
Segmented insertion
#117 opened - 0
Use faster random choice
#115 opened - 0
Multi-label and binary classification
#113 opened - 0
Impact Coverage is broken
#111 opened - 1
(Guided)GradCAM with/without relu
#104 opened - 1
Insertion/deletion masking modes
#103 opened - 0
Krippendorff alpha lineplot
#99 opened - 0
Normalization in samples-attributions
#93 opened - 0
Add normality tests
#91 opened - 1
- 1
Call attribution once in Suite
#88 opened - 1
ImpactCoverage: patches for all classes
#86 opened - 0
Infidelity: noise modes
#85 opened - 0
Disable PixelAggregation
#84 opened - 2
ExpectedGradients GPU
#82 opened - 1
Config file for methods
#80 opened - 0
- 0
Fix Guided Grad-CAM
#76 opened - 0
Number of steps in IntegratedGradients
#75 opened - 0
VarGrad
#74 opened - 3
Layerwise Relevance Propagation
#73 opened - 1
DeepLift
#72 opened - 0
Add entry points in `setup.py`
#70 opened - 0
Error handling
#69 opened - 0
Use Result class in Suite
#67 opened - 2
Select columns
#66 opened - 1
Clean up experiments/lib
#62 opened - 0
Use normalized data for clustermaps
#61 opened - 1
Single-metric/method cluster maps
#60 opened - 2
advanced result getter methods
#59 opened - 0
Model accuracy script
#58 opened - 0
Choose baseline name in effect size plot
#57 opened - 0
Impact score dashboard bug
#56 opened - 2
LIME/SHAP
#54 opened - 0
Tensorboard integration
#53 opened - 0
Metadata in HDF5
#52 opened - 1
Biomedical imaging
#51 opened - 0
CIFAR Resnets
#50 opened