leewyang commented on code in PR #37734:
URL: https://github.com/apache/spark/pull/37734#discussion_r976741664
##########
python/pyspark/ml/functions.py:
##########
@@ -106,6 +111,167 @@ def array_to_vector(col: Column) -> Column:
return
Column(sc._jvm.org.apache.spark.ml.functions.array_to_vector(_to_java_column(col)))
+def batched(df: pd.DataFrame, batch_size: int = -1) -> Iterator[pd.DataFrame]:
+ """Generator that splits a pandas dataframe/series into batches."""
+ if batch_size <= 0 or batch_size >= len(df):
+ yield df
+ else:
+ # for batch in np.array_split(df, (len(df.index) + batch_size - 1) //
batch_size):
+ for _, batch in df.groupby(np.arange(len(df)) // batch_size):
+ yield batch
+
+
+def has_tensor_cols(df: pd.DataFrame) -> bool:
+ """Check if input DataFrame contains any tensor-valued columns"""
+ if any(df.dtypes == np.object_):
+ # pd.DataFrame object types can contain different types, e.g. string,
dates, etc.
+ # so inspect a row and check for array/list type
+ sample = df.iloc[0]
+ return any([isinstance(x, np.ndarray) or isinstance(x, list) for x in
sample])
+ else:
+ return False
+
+
+def batch_infer_udf(
+ predict_batch_fn: Callable,
+ return_type: DataType = ArrayType(FloatType()),
+ batch_size: int = -1,
+ input_names: list[str] = [],
Review Comment:
Per offline discussion with @mengxr, removed `input_names` and
dictionary-style inputs in favor of list-style inputs.
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