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 wrote:
> Hi All,
>
>
> I was able to run LinearRegressionwithSGD for a largeer dataset (> 2
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
>
>> Date: Tue, 7 Oct 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 comb
Oct 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
the domain knowledge.
>
> Any help will be highly appreciated.
>
>
> ____
> 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 fe
...@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
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. A
be 0.1 or 0.01?
>
> Best,
> Burak
>
> - Original Message -
> From: "Krishna Sankar"
> To: user@spark.apache.org
> Sent: Wednesday, October 1, 2014 12:43:20 PM
> Subject: MLlib Linear Regression Mismatch
>
> Guys,
>Obviously I am doing some
2:43:20 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]),
La
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]),
LabeledPoint(20.0, [20.0]),
LabeledPoint(30.0, [30.0])
]
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