Is there any labeled point with label 0 in your dataset?

On Tue, Oct 25, 2016 at 2:13 AM, aditya1702 <adityavya...@gmail.com> wrote:

> 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
> data_rdd=x_df.map(lambda x:LabeledPoint(x[1],x[0]))
>
> model = SVMWithSGD.train(data_rdd, iterations=1000,regParam=1)
>
> X=x_df.map(lambda x:x[0]).collect()
> Y=x_df.map(lambda x:x[1]).collect()
>
> ------------------------------------------------------------
> ----------------------------
> pred=[]
> for i in X:
>   pred.append(model.predict(i))
> print pred
>
> [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
> 1]
>
>
> My dataset is as follows:
> <http://apache-spark-user-list.1001560.n3.nabble.com/
> file/n27955/Screen_Shot_2016-10-25_at_2.png>
>
>
> Can someone please help?
>
>
>
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