predictionio-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Rasna Tomar <ra...@getamplify.com>
Subject Re: Survival Regression Queries
Date Fri, 28 Jul 2017 09:43:15 GMT
Hi

Yes, I am using Survival Regression template from the PredictionIO site.
I have understood quantile and prediction wrt. SR.

Thanks

On Thu, Jul 27, 2017 at 11:16 PM, Mars Hall <mars@heroku.com> wrote:

> Hi Rasna,
>
> Folks here tend to respond to things they know about… I guess we don't
> have a lot of experts for Survival Regression… I'll do my best to reply:
>
>
> Are you using the Survival Regression template from the PredictionIO site?
>
> If so, we can see the exact algorithm in use is AFTSurvivalRegression:
>   https://github.com/goliasz/pio-template-sr/blob/master/
> src/main/scala/SRAlgorithm.scala#L47
>
> Looking at the docs for that algo,
>   https://spark.apache.org/docs/latest/ml-classification-
> regression.html#survival-regression
> …the coefficients, intercept and scale are based on the model's fit to the
> training data. Once the PredictionIO engine is trained, these will be
> constant until trained with a different data set.
>
> The quantiles and prediction are the answers for each specific query
> (transform).
>
> If you're seeking a deeper understanding of the prediction, I'm sorry but
> I do not have that expertise!
>
> *Mars
>
> ( <> .. <> )
>
> > On Jul 27, 2017, at 02:51, Rasna Tomar <rasna@getamplify.com> wrote:
> >
> > Why there is no support for templates other than universal recommender.??
> >
> > On Wed, Jul 19, 2017 at 3:20 PM, Rasna Tomar <rasna@getamplify.com>
> wrote:
> > Hi All
> >
> >
> > I am using survival regression for predicting whether user will purchase
> in next few days or not.
> >
> > I am getting results similar to as shown below -
> >
> > Sample query -
> > curl -i -X POST http://localhost:8000/queries.json
> >  -H "Content-Type: application/json" -d '{"features":[1.560,-0.605]}'
> >
> >
> > Output -
> > {
> >   "coefficients": [
> >     -0.2633608588194104,
> >     0.22152319227842276
> >   ],
> >   "intercept": 2.6380946151040012,
> >   "prediction": 5.718979487634966,
> >   "quantiles": [
> >     1.1603238947151593,
> >     4.995456010274735
> >   ],
> >   "scale": 1.5472345574364683
> >
> > }
> >
> >
> > For each user I am getting same values coefficients, intercept and
> scale, but Quantile and prediction values are different?
> > What is the meaning of quantile and prediction here?
> >
> > Thanks
> >
> >
> >
> >
> >
>
>

Mime
View raw message