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Metrics
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kaiko-eva
Introduction
Leaderboards
User Guide
Datasets
Reference API
eva
kaiko-eva
Introduction
Leaderboards
User Guide
User Guide
Getting started
Getting started
Installation
How to use eva
Tutorials
Tutorials
Offline vs. online evaluations
Train and evaluate a ResNet
Advanced user guide
Advanced user guide
Replicate evaluations
Backbone Model Registry
Model Wrappers
Evaluations with custom models & checkpoints
Datasets
Datasets
WSI
WSI
Patch-level
Patch-level
BACH
CRC
MHIST
PatchCamelyon
MoNuSAC
CoNSeP
BCSS
Slide-level
Slide-level
Camelyon16
PANDA
Radiology
Radiology
TotalSegmentator
LiTS
Reference API
Reference API
Core
Core
Interface
Callbacks
Data
Data
Dataloaders
Datamodules
Datasets
Transforms
Metrics
Metrics
Core
Defaults
Average Loss
Binary Balanced Accuracy
Models
Models
Modules
Networks
Wrappers
Transforms
Trainers
Trainers
Trainer
Functional
Loggers
Utils
Utils
Multiprocessing
Workers
Vision
Vision
Data
Data
Datasets
Transforms
Models
Models
Networks
Wrappers
Utils
Utils
IO
Metrics
Reference information for the
Metrics
classes.