diff --git a/.astro-registry.yaml b/.astro-registry.yaml
index 44d5729..32887ac 100644
--- a/.astro-registry.yaml
+++ b/.astro-registry.yaml
@@ -19,8 +19,8 @@ docs_url: https://github.com/andrewm4894/airflow-provider-anomaly-detection/blob
 # value should be "sample_provider.hooks.sample_hook.SampleHook".
 
 operators:
-  - module: airflow_anomaly_detection.operators.bigquery_metric_batch_ingest_operator.BigQueryMetricBatchIngestOperator
-  - module: airflow_anomaly_detection.operators.bigquery_metric_batch_train_operator.BigQueryMetricBatchTrainOperator
-  - module: airflow_anomaly_detection.operators.bigquery_metric_batch_train_operator.BigQueryMetricBatchScoreOperator
-  - module: airflow_anomaly_detection.operators.bigquery_metric_batch_alert_operator.BigQueryMetricBatchAlertOperator
+  - module: airflow_anomaly_detection.operators.bigquery.metric_batch_ingest_operator.BigQueryMetricBatchIngestOperator
+  - module: airflow_anomaly_detection.operators.bigquery.metric_batch_train_operator.BigQueryMetricBatchTrainOperator
+  - module: airflow_anomaly_detection.operators.bigquery.metric_batch_train_operator.BigQueryMetricBatchScoreOperator
+  - module: airflow_anomaly_detection.operators.bigquery.metric_batch_alert_operator.BigQueryMetricBatchAlertOperator
   - module: airflow_anomaly_detection.operators.metric_batch_alert_operator.MetricBatchEmailNotifyOperator
diff --git a/airflow_anomaly_detection/__init__.py b/airflow_anomaly_detection/__init__.py
index 9d575a0..07e8644 100644
--- a/airflow_anomaly_detection/__init__.py
+++ b/airflow_anomaly_detection/__init__.py
@@ -1,5 +1,5 @@
 
-__version__ = "0.0.22"
+__version__ = "0.0.25"
 
 def get_provider_info():
     return {
diff --git a/airflow_anomaly_detection/example_dags/bigquery_anomaly_detection_dag/config/defaults.yaml b/airflow_anomaly_detection/example_dags/bigquery_anomaly_detection_dag/config/defaults.yaml
index 2bee205..e952b01 100644
--- a/airflow_anomaly_detection/example_dags/bigquery_anomaly_detection_dag/config/defaults.yaml
+++ b/airflow_anomaly_detection/example_dags/bigquery_anomaly_detection_dag/config/defaults.yaml
@@ -36,3 +36,4 @@ alert_subject_emoji: '🔥' # emoji to use in alert emails.
 alert_metric_last_updated_hours_ago_max: 24 # max number of hours ago the metric was last updated to include in alerting, otherwise ignore.
 alert_metric_name_n_observations_min: 14 # min number of observations a metric must have to be considered for alerting.
 alert_airflow_fail_on_alert: False # whether to fail the alerting dag if an alert is triggered.
+log_scores: False # whether to log metrics scores to the airflow logs.
diff --git a/airflow_anomaly_detection/operators/bigquery/metric_batch_ingest_operator.py b/airflow_anomaly_detection/operators/bigquery/metric_batch_ingest_operator.py
index ed1dbae..410cbe7 100644
--- a/airflow_anomaly_detection/operators/bigquery/metric_batch_ingest_operator.py
+++ b/airflow_anomaly_detection/operators/bigquery/metric_batch_ingest_operator.py
@@ -22,6 +22,9 @@ def __init__(self, metric_batch_sql: str, **kwargs) -> None:
         self.metric_batch_sql = metric_batch_sql
         
     def execute(self, context: Any):
+        """
+        Executes `insert_job` to generate metrics.
+        """
         
         gcp_destination_dataset = context['params'].get('gcp_destination_dataset', 'develop')
         gcp_ingest_destination_table_name = context['params'].get('gcp_ingest_destination_table_name', 'metrics')
diff --git a/airflow_anomaly_detection/operators/bigquery/metric_batch_score_operator.py b/airflow_anomaly_detection/operators/bigquery/metric_batch_score_operator.py
index 5f3d399..6faa1c3 100644
--- a/airflow_anomaly_detection/operators/bigquery/metric_batch_score_operator.py
+++ b/airflow_anomaly_detection/operators/bigquery/metric_batch_score_operator.py
@@ -50,6 +50,7 @@ def execute(self, context: Any):
             # create empty dataframe to store scores
             df_scores = pd.DataFrame()
 
+            # process each metric_name
             for metric_name in metrics_distinct:
 
                 # filter for metric_name
@@ -76,6 +77,9 @@ def execute(self, context: Any):
                 df_scores_tmp['metric_name'] = metric_name
                 df_scores_tmp['metric_timestamp'] = df_X['metric_timestamp'].values
                 
+                if context['params'].get('log_scores', False):
+                    self.log.info(df_scores_tmp.transpose().to_string())
+                
                 # append to df_scores
                 df_scores = df_scores.append(df_scores_tmp)
 
diff --git a/pyproject.toml b/pyproject.toml
index 110bfcf..6f4abaf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "airflow-provider-anomaly-detection"
-version = "0.0.22"
+version = "0.0.25"
 authors = [
   { name="andrewm4894", email="andrewm4894@gmail.com" },
 ]