仍然在学习spark ml。有没有想过我可以用org.apache.spark.ml.regression.linearregression得到带有regparam的系数的p值仍然是0.0？真的需要帮助，谢谢。

// transform dataframe
val spark = SparkSession.builder().master("local").getOrCreate()
import spark.implicits._
val df = dataRDD.map{case(fdate, adHashValue, effectDummyArray, timeDummyArray, label) =>
  val features = Vectors.dense(effectDummyArray ++ timeDummyArray)
  (label, features)
}.toDF("label", "features")

// set up model
val lr = new LinearRegression()

val lr_model = lr.fit(df)
val summary = lr_model.summary
val PValues = summary.pValues
val Variance = summary.coefficientStandardErrors.map{x => x * x}
val coefficients: Array[Double] = lr_model.coefficients.asInstanceOf[DenseVector].values