Hello,
I am trying to run LinearRegression on a dummy data set, given below. Here
I tried all different settings but I am still failing to reproduce desired
coefficients.
Please help me out, as I facing the same problem in my actual dataset.
Thank you.
This dataset is generated based on the simp
:
>
> val w = weights.toArray
> val intercept = w.takeRight(1).head()
> val model = new LinearRegressionModel(Vectors.dense(w.dropRight(1)),
> intercept)
>
>
> Best,
> Burak
>
> On Wed, Mar 11, 2015 at 11:59 AM, EcoMotto Inc.
> wrote:
>
>> Hello,
>&
Hello,
I am new to spark streaming API.
I wanted to ask if I can apply LBFGS (with LeastSquaresGradient) on
streaming data? Currently I am using forecahRDD for parsing through DStream
and I am generating a model based on each RDD. Am I doing anything
logically wrong here?
Thank you.
Sample Code:
y can use
> existing MLLib optimization routines in this fairly direct way. Other
> methods (such as KMeans) require a bit more reengineering.
>
> — Jeremy
>
> -
> jeremyfreeman.net
> @thefreemanlab
>
> On Mar 16, 2015, at 6:19 PM, EcoMotto Inc. w
he optimizer in the same order?
> Difference in either could produce small differences in the resulting
> weights, but that doesn’t mean it’s doing anything wrong.
>
> -
> jeremyfreeman.net
> @thefreemanlab
>
> On Mar 17, 2015, at 6:19 PM, EcoMotto Inc.
lem for the algorithm.
>
> Sincerely,
>
> DB Tsai
> ---
> Blog: https://www.dbtsai.com
>
>
> On Mon, Mar 16, 2015 at 3:19 PM, EcoMotto Inc.
> wrote:
> > Hello,
> >
> > I am new to spark streaming API.
&g
