本文整理汇总了Python中pyspark.mllib.linalg.Vectors.zeros方法的典型用法代码示例。如果您正苦于以下问题：Python Vectors.zeros方法的具体用法？Python Vectors.zeros怎么用？Python Vectors.zeros使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyspark.mllib.linalg.Vectors的用法示例。
在下文中一共展示了Vectors.zeros方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SparkContext
# 需要导入模块: from pyspark.mllib.linalg import Vectors [as 别名]
# 或者: from pyspark.mllib.linalg.Vectors import zeros [as 别名]
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.mllib.linalg import Vectors
from pyspark.mllib.regression import LabeledPoint
from pyspark.mllib.regression import StreamingLinearRegressionWithSGD
from pyspark.mllib.regression import LabeledPoint, LinearRegressionWithSGD, LinearRegressionModel
# Create a local StreamingContext with two working thread and batch interval of 1 second
sc = SparkContext("local[2]", "Streaming online learning")
ssc = StreamingContext(sc, 10)
stream = ssc.socketTextStream("localhost", 9999)
numFeatures = 100
zeroVector=Vectors.zeros(numFeatures)
model = StreamingLinearRegressionWithSGD(stepSize=0.01,numIterations=1)
model.setInitialWeights(Vectors.dense([0]*numFeatures))
#labeledStream=stream.map(lambda line: line.split('\t')).map(lambda fields: LabeledPoint(float(fields[0]),fields[1].map(lambda line: line.split(',')).map(float())))
def parsePoint(line):
values = [float(x) for x in line.split(',')]
return LabeledPoint(label=values[0], features=Vectors.dense(values[1:]))
labeledStream=stream.map(lambda line: parsePoint(line))
model.trainOn(labeledStream)