Hugging Face
Models
Datasets
Spaces
Posts
Docs
Enterprise
Pricing
Log In
Sign Up
Spaces:
mdocekal
/
multi_label_precision_recall_accuracy_fscore
like
0
Runtime error
App
Files
Files
Community
Fetching metadata from the HF Docker repository...
5ae6761
multi_label_precision_recall_accuracy_fscore
1 contributor
History:
3 commits
mdocekal
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
5ae6761
4 months ago
.gitattributes
Safe
1.52 kB
initial commit
4 months ago
README.md
3.11 kB
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
4 months ago
app.py
Safe
174 Bytes
add module default template
4 months ago
multi_label_precision_recall_accuracy_fscore.py
Safe
6.29 kB
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
4 months ago
requirements.txt
Safe
17 Bytes
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
4 months ago
tests.py
Safe
9.33 kB
Init commit containing implementation of example based evaluation metrics for multi-label classification presented in Zhang and Zhou (2014) and multiset variant.
4 months ago