浅笑古今的博客

一种可能的方法是转换为RDD和从RDD转换：from pyspark.ml.linalg import Vectorsdf = sc.parallelize([ ("assert", Vectors.dense([1, 2, 3])), ("require", Vectors.sparse(3, {1: 2}))]).toDF(["word", "vector"])def extract(row): return (row.word, ) + tuple(row.v.

利用pyspark进行建模及调参过程如下，from sklearn import datasetsimport pandas as pd from pyspark.ml.evaluation import BinaryClassificationEvaluatorfrom pyspark.ml.tuning import ParamGridBuilder, CrossValidatorfrom pyspark.ml import Transformer,Pipelineimport pysp