Re: PCA machine learning

2016-07-26 Thread pseudo oduesp
hi , i want add somme point getting the follow tow vectors first on it s features vectors = Row(features=SparseVector(765, {0: 3.0, 1: 1.0, 2: 50.0, 3: 16.0, 5: 88021.0, 6: 88021.0, 8: 1.0, 11: 1.0, 12: 200.0, 14: 200.0, 15: 200.0, 16: 200.0, 17: 2.0, 18: 1.0, 25: 1.0, 26: 2.0, 31: 89200.0, 32:

PCA machine learning

2016-07-26 Thread pseudo oduesp
Hi, when i perform PCA reduction dimension i get dense vector with length of number of principla component my question : -How i get the name of features giving this vectors ? -the values inside vectors result its value of projection of all features on this componenets ? - how to use it ?