Metadata-Version: 2.1
Name: tf-frodo
Version: 0.0.1
Summary: FRODO for free rejection of out-of-distribution samples in deep learning
Home-page: https://github.com/xarion/tf_frodo.git
Author: Erdi Calli
Author-email: erdicalli@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

## FRODO: Free rejection of Out-of-distribution samples

use FRODO simply by

```
import model
from tf_frodo import FRODO

model_with_frodo = FRODO(model).fit(x_validation) 

results = model_with_frodo.predict(x_test)

assert results["model_outputs"] == model(x_test)
results["FRODO"] # Rejection scores for each sample in x_test
```

