Hello, I am using linear SVM to train my model and generate a line through my data. However my model always predicts 1 for all the feature examples. Here is my code:
print data_rdd.take(5) [LabeledPoint(1.0, [1.9643,4.5957]), LabeledPoint(1.0, [2.2753,3.8589]), LabeledPoint(1.0, [2.9781,4.5651]), LabeledPoint(1.0, [2.932,3.5519]), LabeledPoint(1.0, [3.5772,2.856])]
from pyspark.mllib.classification import SVMWithSGD from pyspark.mllib.linalg import Vectors from sklearn.svm import SVC