feat: add bigquery.ml.transform function

bigframes/bigquery/_operations/ml.py

@@ -393,3 +393,41 @@ def global_explain(
         return bpd.read_gbq_query(sql)
     else:
         return session.read_gbq_query(sql)
+
+
+@log_adapter.method_logger(custom_base_name="bigquery_ml")
+def transform(
+    model: Union[bigframes.ml.base.BaseEstimator, str, pd.Series],
+    input_: Union[pd.DataFrame, dataframe.DataFrame, str],
+) -> dataframe.DataFrame:
+    """
+    Transforms input data using a BigQuery ML model.
+
+    See the `BigQuery ML TRANSFORM function syntax
+    <https://docs.cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-transform>`_
+    for additional reference.
+
+    Args:
+        model (bigframes.ml.base.BaseEstimator or str):
+            The model to use for transformation.
+        input_ (Union[bigframes.pandas.DataFrame, str]):
+            The DataFrame or query to use for transformation.
+
+    Returns:
+        bigframes.pandas.DataFrame:
+            The transformed data.
+    """
+    import bigframes.pandas as bpd
+
+    model_name, session = _get_model_name_and_session(model, input_)
+    table_sql = _to_sql(input_)
+
+    sql = bigframes.core.sql.ml.transform(
+        model_name=model_name,
+        table=table_sql,
+    )
+
+    if session is None:
+        return bpd.read_gbq_query(sql)
+    else:
+        return session.read_gbq_query(sql)

bigframes/bigquery/ml.py

@@ -25,6 +25,7 @@
     explain_predict,
     global_explain,
     predict,
+    transform,
 )
 
 __all__ = [
@@ -33,4 +34,5 @@
     "predict",
     "explain_predict",
     "global_explain",
+    "transform",
 ]

bigframes/core/sql/ml.py

@@ -213,3 +213,14 @@ def global_explain(
     sql += _build_struct_sql(struct_options)
     sql += ")\n"
     return sql
+
+
+def transform(
+    model_name: str,
+    table: str,
+) -> str:
+    """Encode the ML.TRANSFORM statement.
+    See https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-transform for reference.
+    """
+    sql = f"SELECT * FROM ML.TRANSFORM(MODEL {googlesql.identifier(model_name)}, ({table}))\n"
+    return sql

tests/unit/bigquery/test_ml.py

@@ -145,3 +145,21 @@ def test_global_explain_with_pandas_series_model(read_gbq_query_mock):
     generated_sql = read_gbq_query_mock.call_args[0][0]
     assert "ML.GLOBAL_EXPLAIN" in generated_sql
     assert f"MODEL `{MODEL_NAME}`" in generated_sql
+
+
+@mock.patch("bigframes.pandas.read_gbq_query")
+@mock.patch("bigframes.pandas.read_pandas")
+def test_transform_with_pandas_dataframe(read_pandas_mock, read_gbq_query_mock):
+    df = pd.DataFrame({"col1": [1, 2, 3]})
+    read_pandas_mock.return_value._to_sql_query.return_value = (
+        "SELECT * FROM `pandas_df`",
+        [],
+        [],
+    )
+    ml_ops.transform(MODEL_SERIES, input_=df)
+    read_pandas_mock.assert_called_once()
+    read_gbq_query_mock.assert_called_once()
+    generated_sql = read_gbq_query_mock.call_args[0][0]
+    assert "ML.TRANSFORM" in generated_sql
+    assert f"MODEL `{MODEL_NAME}`" in generated_sql
+    assert "(SELECT * FROM `pandas_df`)" in generated_sql

tests/unit/core/sql/snapshots/test_ml/test_transform_model_basic/transform_model_basic.sql

@@ -0,0 +1 @@
+SELECT * FROM ML.TRANSFORM(MODEL `my_project.my_dataset.my_model`, (SELECT * FROM new_data))

tests/unit/core/sql/test_ml.py

@@ -169,3 +169,11 @@ def test_global_explain_model_with_options(snapshot):
         class_level_explain=True,
     )
     snapshot.assert_match(sql, "global_explain_model_with_options.sql")
+
+
+def test_transform_model_basic(snapshot):
+    sql = bigframes.core.sql.ml.transform(
+        model_name="my_project.my_dataset.my_model",
+        table="SELECT * FROM new_data",
+    )
+    snapshot.assert_match(sql, "transform_model_basic.sql")