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Change how the slice is stringified so it is easier to read. #299

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Change how the slice is stringified so it is easier to read. #299

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2 changes: 2 additions & 0 deletions RELEASE.md
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,8 @@
## Bug Fixes and Other Changes

## Breaking Changes
* Changes how cross-slice is stringified for easier read: "FeatureA:ValueA__XX__FeatureB:ValueB" to "FeautreA=ValueA Vs.
FeatureB=ValueB".

## Deprecations

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5 changes: 2 additions & 3 deletions fairness_indicators/example_model_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,6 @@
import six
import tensorflow.compat.v1 as tf
import tensorflow_model_analysis as tfma
from tensorflow_model_analysis.slicer import slicer_lib as slicer

tf.compat.v1.enable_eager_execution()

Expand Down Expand Up @@ -96,7 +95,7 @@ def test_example_model(self):
FEATURE_MAP)

expected_slice_keys = [
'Overall', 'slice:slice3', 'slice:slice1', 'slice:slice2'
'Overall', 'slice: slice3', 'slice: slice1', 'slice: slice2'
]
evaluation_results = tfma.load_eval_result(tfma_eval_result_path)

Expand All @@ -105,7 +104,7 @@ def test_example_model(self):
# Verify if false_positive_rate metrics are computed for all values of
# slice.
for (slice_key, metric_value) in evaluation_results.slicing_metrics:
slice_key = slicer.stringify_slice_key(slice_key)
slice_key = tfma.slicer.stringify_slice_key(slice_key)
self.assertIn(slice_key, expected_slice_keys)
self.assertGreaterEqual(
1.0, metric_value['']['']
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