我正在学习pyspark和mllib。
在使用RF模型预测测试数据之后，我将结果分配给称为“预测”的变量，即RDD。
如果我调用predictions.count（）或prediction.collect（），则它将失败，并带有以下异常。
请您分享您的想法？已经花费了相当长的时间，但是没有找到缺少的东西。
predictions = predict(training_data, test_data)
File "/mp5/part_d_poc.py", line 36, in predict
print(predictions.count())
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1055, in count
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 1046, in sum
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 917, in fold
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 816, in collect
File "/usr/local/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/local/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times, most recent failure: Lost task 0.0 in stage 15.0 (TID 28, localhost, executor driver): java.lang.ArrayIndexOutOfBoundsException: 7
我通过以下方式构造了训练数据。
raw_training_data.map(lambda row: LabeledPoint(row.split(',')[-1], Vectors.dense(row.split(',')[0:-1])))