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Internal update. #32

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merged 1 commit into from
Sep 4, 2024
Merged

Internal update. #32

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6 changes: 3 additions & 3 deletions spade_anomaly_detection/runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -293,7 +293,7 @@ def instantiate_and_fit_ensemble(
logging.info('Batch size for OCC ensemble: %s', batch_size)

if self.data_format == DataFormat.BIGQUERY:
logging.info('Loading training data from BigQuery.')
logging.info('Loading GMM training data from BigQuery.')
self.input_data_loader = cast(
data_loader.DataLoader, self.input_data_loader
)
Expand All @@ -310,7 +310,7 @@ def instantiate_and_fit_ensemble(
],
)
else:
logging.info('Loading training data from CSV.')
logging.info('Loading GMM training data from CSV.')
self.input_data_loader = cast(
csv_data_loader.CsvDataLoader, self.input_data_loader
)
Expand Down Expand Up @@ -348,7 +348,7 @@ def write_verbose_logs(
weights: Weights corresponding to pseudo labels - this is the alpha
parameter.
"""
updated_label_counts = pd.DataFrame(labels).value_counts()
updated_label_counts = pd.DataFrame(labels).value_counts().reset_index()
logging.info('Updated label counts %s', updated_label_counts)

if self.test_x is not None and self.test_y is not None:
Expand Down
3 changes: 2 additions & 1 deletion spade_anomaly_detection/runner_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -387,7 +387,8 @@ def test_verbose_logging_no_error(self):
)
with self.subTest(name='LabelCountLogs'):
self._assert_regex_in(
training_logs.output, r'Updated label counts 0 90\n1 10\n'
training_logs.output,
r'Updated label counts 0 count\n0 0 90\n1 1 10',
)
with self.subTest(name='TrainFeatureShapeLogs'):
self._assert_regex_in(
Expand Down
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