Add fix for model validation with Feature Store models

databricks · Jul 17, 2024 · c4a52e4 · c4a52e4
1 parent cf07d13
commit c4a52e4
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Showing 2 changed files with 33 additions and 7 deletions.
diff --git a/...e `project_name_alphanumeric_underscore` .}}/validation/notebooks/ModelValidation.py.tmpl b/...e `project_name_alphanumeric_underscore` .}}/validation/notebooks/ModelValidation.py.tmpl
@@ -89,12 +89,6 @@ dbutils.widgets.text("model_name", "dev.{{ .input_schema_name }}.{{template `mod
 dbutils.widgets.text("model_version", "", "Candidate Model Version")
 
 # COMMAND ----------
-{{ if (eq .input_include_feature_store `yes`) }}
-print(
-    "Currently model validation is not supported for models registered with feature store. Please refer to "
-    "issue https://github.com/databricks/mlops-stacks/issues/70 for more details."
-)
-dbutils.notebook.exit(0){{ end }}
 run_mode = dbutils.widgets.get("run_mode").lower()
 assert run_mode == "disabled" or run_mode == "dry_run" or run_mode == "enabled"
 
@@ -183,6 +177,14 @@ assert model_version != "", "model_version notebook parameter must be specified"
 
 # take input
 enable_baseline_comparison = dbutils.widgets.get("enable_baseline_comparison")
+
+{{ if (eq .input_include_feature_store `yes`) }}
+enable_baseline_comparison = "false" 
+print(
+    "Currently baseline model comparison is not supported for models registered with feature store. Please refer to "
+    "issue https://github.com/databricks/mlops-stacks/issues/70 for more details."
+)
+{{ end }}
 assert enable_baseline_comparison == "true" or enable_baseline_comparison == "false"
 enable_baseline_comparison = enable_baseline_comparison == "true"
 
@@ -257,6 +259,26 @@ def log_to_model_description(run, success):
 
 # COMMAND ----------
 
+{{ if (eq .input_include_feature_store `yes`) }}
+###########################################################################################
+# Temporary fix as FS model can't predict as pyfunc model                                 #
+# MLflow evaluate can take a lambda function instead of model uri for model               #
+# but not for baseline model it requires model_uri (baseline comparison set to false)     #
+###########################################################################################
+
+from databricks.feature_store import FeatureStoreClient
+
+def get_fs_model(df):
+    fs_client = FeatureStoreClient()
+    return fs_client.score_batch(
+    model_uri,
+    spark.createDataFrame(df)
+    ).select('prediction').toPandas()
+
+###########################################################################################
+
+{{ end }}
+
 training_run = get_training_run(model_name, model_version)
 
 # run evaluate
@@ -277,7 +299,11 @@ with mlflow.start_run(
 
     try:
         eval_result = mlflow.evaluate(
+            {{ if (eq .input_include_feature_store `yes`) }}
+            get_fs_model,
+            {{ else }}
             model=model_uri,
+            {{ end }}
             data=data,
             targets=targets,
             model_type=model_type,

diff --git a/...dir}}/{{template `project_name_alphanumeric_underscore` .}}/validation/validation.py.tmpl b/...dir}}/{{template `project_name_alphanumeric_underscore` .}}/validation/validation.py.tmpl
@@ -26,7 +26,7 @@ def validation_thresholds():
             threshold=500, higher_is_better=False  # max_error should be <= 500
         ),
         "mean_squared_error": MetricThreshold(
-            threshold=20,  # mean_squared_error should be <= 20
+            threshold=200,  # mean_squared_error should be <= 200
             # min_absolute_change=0.01,  # mean_squared_error should be at least 0.01 greater than baseline model accuracy
             # min_relative_change=0.01,  # mean_squared_error should be at least 1 percent greater than baseline model accuracy
             higher_is_better=False,