Is it possible that after filtering the feature dimension changed?
This may happen if you use LIBSVM format but didn't specify the number
of features. -Xiangrui
On Tue, Dec 9, 2014 at 4:54 AM, Sameer Tilak ssti...@live.com wrote:
Hi All,
I was able to run LinearRegressionwithSGD for a largeer
Hi All,
I was able to run LinearRegressionwithSGD for a largeer dataset ( 2GB sparse).
I have now filtered the data and I am running regression on a subset of it (~
200 MB). I see this error, which is strange since it was running fine with the
superset data. Is this a formatting issue
2014 15:11:39 -0700
Subject: Re: MLLib Linear regression
From: men...@gmail.com
To: ssti...@live.com
CC: user@spark.apache.org
Did you test different regularization parameters and step sizes? In
the combination that works, I don't see A + D. Did you test that
combination? Are there any linear
Subject: Re: MLLib Linear regression
From: men...@gmail.com
To: ssti...@live.com
CC: user@spark.apache.org
Did you test different regularization parameters and step sizes? In
the combination that works, I don't see A + D. Did you test that
combination? Are there any linear dependency between
Hi All,I have following classes of features:
class A: 15000 featuresclass B: 170 featuresclass C: 900 featuresClass D: 6000
features.
I use linear regression (over sparse data). I get excellent results with low
RMSE (~0.06) for the following combinations of classes:1. A + B + C 2. B + C +
D3.
...@live.com
To: user@spark.apache.org
Subject: MLLib Linear regression
Date: Tue, 7 Oct 2014 13:41:03 -0700
Hi All,I have following classes of features:
class A: 15000 featuresclass B: 170 featuresclass C: 900 featuresClass D: 6000
features.
I use linear regression (over sparse data). I get excellent
.
From: ssti...@live.com
To: user@spark.apache.org
Subject: MLLib Linear regression
Date: Tue, 7 Oct 2014 13:41:03 -0700
Hi All,
I have following classes of features:
class A: 15000 features
class B: 170 features
class C: 900 features
Class D: 6000 features.
I use
, 2014 12:43:20 PM
Subject: MLlib Linear Regression Mismatch
Guys,
Obviously I am doing something wrong. May be 4 points are too small a
dataset.
Can you help me to figure out why the following doesn't work ?
a) This works :
data = [
LabeledPoint(0.0, [0.0]),
LabeledPoint(10.0, [10.0
to be 0.1 or 0.01?
Best,
Burak
- Original Message -
From: Krishna Sankar ksanka...@gmail.com
To: user@spark.apache.org
Sent: Wednesday, October 1, 2014 12:43:20 PM
Subject: MLlib Linear Regression Mismatch
Guys,
Obviously I am doing something wrong. May be 4 points are too small
