change: fix list serialization for 1P algos

src/sagemaker/amazon/hyperparameter.py

@@ -12,6 +12,8 @@
 # language governing permissions and limitations under the License.
 from __future__ import absolute_import
 
+import json
+
 
 class Hyperparameter(object):
     """An algorithm hyperparameter with optional validation. Implemented as a python
@@ -67,4 +69,8 @@ def serialize_all(obj):
         """Return all non-None ``hyperparameter`` values on ``obj`` as a ``dict[str,str].``"""
         if "_hyperparameters" not in dir(obj):
             return {}
-        return {k: str(v) for k, v in obj._hyperparameters.items() if v is not None}
+        return {
+            k: json.dumps(v) if isinstance(v, list) else str(v)
+            for k, v in obj._hyperparameters.items()
+            if v is not None
+        }

tests/integ/test_kmeans.py

@@ -13,6 +13,7 @@
 from __future__ import absolute_import
 
 import gzip
+import json
 import os
 import pickle
 import sys
@@ -52,6 +53,7 @@ def test_kmeans(sagemaker_session):
         kmeans.half_life_time_size = 1
         kmeans.epochs = 1
         kmeans.center_factor = 1
+        kmeans.eval_metrics = ["ssd", "msd"]
 
         assert kmeans.hyperparameters() == dict(
             init_method=kmeans.init_method,
@@ -63,6 +65,7 @@ def test_kmeans(sagemaker_session):
             epochs=str(kmeans.epochs),
             extra_center_factor=str(kmeans.center_factor),
             k=str(kmeans.k),
+            eval_metrics=json.dumps(kmeans.eval_metrics),
             force_dense="True",
         )
 

tests/integ/test_randomcutforest.py

@@ -34,6 +34,7 @@ def test_randomcutforest(sagemaker_session):
             train_instance_type="ml.c4.xlarge",
             num_trees=50,
             num_samples_per_tree=20,
+            eval_metrics=["accuracy", "precision_recall_fscore"],
             sagemaker_session=sagemaker_session,
         )
 

tests/unit/test_kmeans.py

@@ -104,7 +104,7 @@ def test_all_hyperparameters(sagemaker_session):
         half_life_time_size="0",
         epochs="10",
         extra_center_factor="2",
-        eval_metrics="['msd', 'ssd']",
+        eval_metrics='["msd", "ssd"]',
         force_dense="True",
     )
 

tests/unit/test_randomcutforest.py

@@ -100,7 +100,7 @@ def test_all_hyperparameters(sagemaker_session):
     assert randomcutforest.hyperparameters() == dict(
         num_samples_per_tree=str(NUM_SAMPLES_PER_TREE),
         num_trees=str(NUM_TREES),
-        eval_metrics="{}".format(EVAL_METRICS),
+        eval_metrics='["accuracy", "precision_recall_fscore"]',
     )