KernelDensity#
- class pyspark.mllib.stat.KernelDensity[source]#
Estimate probability density at required points given an RDD of samples from the population.
Examples
>>> kd = KernelDensity() >>> sample = sc.parallelize([0.0, 1.0]) >>> kd.setSample(sample) >>> kd.estimate([0.0, 1.0]) array([ 0.12938758, 0.12938758])
Methods
estimate
(points)Estimate the probability density at points
setBandwidth
(bandwidth)Set bandwidth of each sample.
setSample
(sample)Set sample points from the population.
Methods Documentation