如何在python中计算大型spark数据帧的kendall's tau？

from pyspark.sql import SparkSession
from pyspark.ml.stat import Correlation
from pyspark.ml.feature import VectorAssembler

spark = SparkSession.builder.appName("Kendall's Tau Calculation").getOrCreate()

# 假设数据集已经加载到一个名为df的数据帧中
# 数据集应包含要计算Kendall's Tau的数值列

# 假设要计算Kendall's Tau的列名为col1和col2
assembler = VectorAssembler(inputCols=["col1", "col2"], outputCol="features")
df_vector = assembler.transform(df).select("features")

correlation_matrix = Correlation.corr(df_vector, "features", method="kendall")
kendalls_tau = correlation_matrix.head()[0].toArray()[0, 1]