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Validation <- predict.gbm(UPC80.tc2.lr01.simplify.10 , Validatedata , n.trees=UPC80.tc2.lr01.simplify.10$gbm.call$best.trees , type = "response")
Here is the package info http://cran.r-project.org/web/packages/gbm/gbm.pdf
How do we call predict.gbm function using syncfusion framework?
Thanks
VJ
Hi Vijaya,
Thank you for
your interest in Syncfusion products.
At present we
don’t have support for GBM model in our PMML Execution Engine.
We are providing support for the following
models from Data mining Groups:
1. Clustering Model
2. Cox Regression
3. General
Regression Model
4. Multinomial
Regression
5. Naïve Bayes
6. Neural Network
7. Random Forest
(Mining Model)
8. Regression
9. Support Vector
Machines
10. Tree Model
PMML Execution
Engine is a PMML consumer which consumes the input PMML and creates an evaluator
instance for the appropriate model which in turn invokes the respective scoring
procedure for prediction when GetResult method
is called. For more information about PMML execution engine, please refer the
following documentation link:
http://help.syncfusion.com/predictive-analytics
Kindly let us
know if you have any further assistance on this.
Regards,
Edwin Vivek N
Hi Vijaya,
Please ignore our previous update.
We are investigating the execution
procedure for GBM model and we will update you with the details within two
business days 03/03/2015.
Thanks,
Rajasekar
Hi Vijay,
Still we are investigating the gbm model and we will update you the details in two business days (3/5/2015).
Thanks,
Edwin Vivek N
Hi Vijaya,
We have considered this as a feature and have logged feature report regarding this. A support incident to track the status of this feature has been created under your account. Please log on to our support website to check for further updates
https://www.syncfusion.com/account/login?ReturnUrl=%2fsupport%2fdirecttrac%2fincidents
Please let me know if you have any questions.
Best,
Edwin Vivek N