ted values, which is the lp.features.
Thanks
Tri
From: Yanbo Liang [mailto:yanboha...@gmail.com]
Sent: Thursday, November 27, 2014 12:22 AM
To: Bui, Tri
Cc: user@spark.apache.org
Subject: Re: Inaccurate Estimate of weights model from
StreamingLinearRegressionWithSGD
Hi Tri,
Maybe my latest responds
pile) Compilation failed
>
>
>
> Thanks
>
> Tri
>
>
>
> *From:* Yanbo Liang [mailto:yanboha...@gmail.com]
> *Sent:* Tuesday, November 25, 2014 8:57 PM
> *To:* Bui, Tri
> *Cc:* user@spark.apache.org
> *Subject:* Re: Inaccurate Estimate of weights model from
> St
user@spark.apache.org>
Subject: Re: Inaccurate Estimate of weights model from
StreamingLinearRegressionWithSGD
The case run correctly in my environment.
14/11/25 17:48:20 INFO regression.StreamingLinearRegressionWithSGD: Model
updated at time 141690890 ms
14/11/25 17:48:20 INFO regression
t: Tuesday, November 25, 2014 9:52 AM
To: Yanbo Liang
Cc: user@spark.apache.org
Subject: RE: Inaccurate Estimate of weights model from
StreamingLinearRegressionWithSGD
Thanks Liang!
It was my bad, I fat finger one of the data point, correct it and the result
match with yours.
I am still not able t
amingLinearRegressionWithSGD().setInitialWeights(Vectors.zeros(args(3).toInt))
>
> .setIntercept(true)
>
>
>
> But still get compilation error.
>
>
>
> Thanks
>
> Tri
>
>
>
>
>
>
>
>
>
> *From:* Yanbo Liang [mailto:yanbo
().setInitialWeights(Vectors.zeros(args(3).toInt))
.setIntercept(true)
But still get compilation error.
Thanks
Tri
From: Yanbo Liang [mailto:yanboha...@gmail.com]
Sent: Tuesday, November 25, 2014 4:08 AM
To: Bui, Tri
Cc: user@spark.apache.org
Subject: Re: Inaccurate Estimate of weights model from
The case run correctly in my environment.
14/11/25 17:48:20 INFO regression.StreamingLinearRegressionWithSGD: Model
updated at time 141690890 ms
14/11/25 17:48:20 INFO regression.StreamingLinearRegressionWithSGD: Current
model: weights, [0.8588]
Can you provide more detail informa
Hi,
I am getting incorrect weights model from StreamingLinearRegressionwith SGD.
One feature Input data is:
(1,[1])
(2,[2])
...
.
(20,[20])
The result from the Current model: weights is [-4.432]which is not correct.
Also, how do I turn on the intercept value for the StreamingLinearRegressi
