diff --git a/autofit/__init__.py b/autofit/__init__.py
index 9da23e55a..740bf7dca 100644
--- a/autofit/__init__.py
+++ b/autofit/__init__.py
@@ -26,6 +26,7 @@
 from .non_linear.samples import SamplesStored
 from .database.aggregator import Aggregator
 from .aggregator.summary.aggregate_csv import AggregateCSV
+from .aggregator.summary.aggregate_csv import ValueType
 from .aggregator.summary.aggregate_images import AggregateImages
 from .aggregator.summary.aggregate_fits import AggregateFITS, FITSFit
 from .database.aggregator import Query
diff --git a/autofit/aggregator/summary/aggregate_csv/column.py b/autofit/aggregator/summary/aggregate_csv/column.py
index 662209e32..879849c0d 100644
--- a/autofit/aggregator/summary/aggregate_csv/column.py
+++ b/autofit/aggregator/summary/aggregate_csv/column.py
@@ -67,7 +67,7 @@ def value(self, row: "Row"):
             result[""] = row.median_pdf_sample_kwargs[self.path]
 
         if ValueType.MaxLogLikelihood in self.value_types:
-            result["max_lh"] = row.max_likelihood_kwargs
+            result["max_lh"] = row.max_likelihood_kwargs[self.path]
 
         if ValueType.ValuesAt1Sigma in self.value_types:
             lower, upper = row.values_at_sigma_1_kwargs[self.path]