feature: add joinsource to DataConfig (#2718)

Author: keerthanvasist

src/sagemaker/clarify.py

@@ -38,6 +38,7 @@ def __init__(
         dataset_type="text/csv",
         s3_data_distribution_type="FullyReplicated",
         s3_compression_type="None",
+        joinsource=None,
     ):
         """Initializes a configuration of both input and output datasets.
 
@@ -57,6 +58,11 @@ def __init__(
             s3_data_distribution_type (str): Valid options are "FullyReplicated" or
                 "ShardedByS3Key".
             s3_compression_type (str): Valid options are "None" or "Gzip".
+            joinsource (str): The name or index of the column in the dataset that acts an
+                identifier column (for instance, while performing a join). This column is only
+                used as an identifier, and not used for any other computations. This is an
+                optional field in all cases except when the dataset contains more than one file,
+                and `save_local_shap_values` is set to true in SHAPConfig.
         """
         if dataset_type not in ["text/csv", "application/jsonlines", "application/x-parquet"]:
             raise ValueError(
@@ -77,6 +83,7 @@ def __init__(
         _set(features, "features", self.analysis_config)
         _set(headers, "headers", self.analysis_config)
         _set(label, "label", self.analysis_config)
+        _set(joinsource, "joinsource_name_or_index", self.analysis_config)
 
     def get_config(self):
         """Returns part of an analysis config dictionary."""

tests/unit/test_clarify.py

@@ -379,13 +379,9 @@ def data_config():
         s3_data_input_path="s3://input/train.csv",
         s3_output_path="s3://output/analysis_test_result",
         label="Label",
-        headers=[
-            "Label",
-            "F1",
-            "F2",
-            "F3",
-        ],
+        headers=["Label", "F1", "F2", "F3", "F4"],
         dataset_type="text/csv",
+        joinsource="F4",
     )
 
 
@@ -455,7 +451,9 @@ def test_pre_training_bias(
                 "F1",
                 "F2",
                 "F3",
+                "F4",
             ],
+            "joinsource_name_or_index": "F4",
             "label": "Label",
             "label_values_or_threshold": [1],
             "facet": [{"name_or_index": "F1"}],
@@ -516,9 +514,11 @@ def test_post_training_bias(
                 "F1",
                 "F2",
                 "F3",
+                "F4",
             ],
             "label": "Label",
             "label_values_or_threshold": [1],
+            "joinsource_name_or_index": "F4",
             "facet": [{"name_or_index": "F1"}],
             "group_variable": "F2",
             "methods": {"post_training_bias": {"methods": "all"}},
@@ -646,8 +646,25 @@ def _run_test_explain(
                 "F1",
                 "F2",
                 "F3",
+                "F4",
             ],
             "label": "Label",
+            "joinsource_name_or_index": "F4",
+            "methods": {
+                "shap": {
+                    "baseline": [
+                        [
+                            0.26124998927116394,
+                            0.2824999988079071,
+                            0.06875000149011612,
+                        ]
+                    ],
+                    "num_samples": 100,
+                    "agg_method": "mean_sq",
+                    "use_logit": False,
+                    "save_local_shap_values": True,
+                }
+            },
             "predictor": expected_predictor_config,
         }
         expected_explanation_configs = {}