Displaying 20 results from an estimated 1000 matches similar to: "pmml for random forest & rules"
2007 Feb 01
3
SEXP i/o, .Call(), and garbage collection.
Apologies for any obtuseness in the following. We have been working
on Version 2.0 of the randomSurvivalForest CRAN package and we're
encountering a perplexing 'memory not mapped' segfault that we believe
is "influenced" by GC.
We essentially have two R functions, rsf.default(..), and
predict.rsf(..) and two corresponding entry points, rsfGrow(...), and
rsfPredict(...),
2007 Feb 11
0
randomSurvivalForest 2.0.0 now available
Dear useRs:
Release 2.0.0 of the randomSurvivalForest package is now available.
---------------------------------------------------------------------------------
CHANGES TO RELEASE 2.0.0
Release 2.0.0 represents a major upgrade in the functionality and stability
of the original 1.0.0 release. Key changes are as follows:
o Two new splitting rules, 'logrankscore' and
2007 Feb 11
0
randomSurvivalForest 2.0.0 now available
Dear useRs:
Release 2.0.0 of the randomSurvivalForest package is now available.
---------------------------------------------------------------------------------
CHANGES TO RELEASE 2.0.0
Release 2.0.0 represents a major upgrade in the functionality and stability
of the original 1.0.0 release. Key changes are as follows:
o Two new splitting rules, 'logrankscore' and
2007 May 03
0
randomSurvivalForest 2.1.0 now available
Dear useRs:
Release 2.1.0 of the randomSurvivalForest package is now available.
--------------------------------------------------------------------------------------------------
CHANGES TO RELEASE 2.1.0
Release 2.1.0 represents a minor upgrade of the product, and will not affect
most users of the prior version of the product. Key changes are as follows:
o R 2.5.0 compliance issues and
2007 May 03
0
randomSurvivalForest 2.1.0 now available
Dear useRs:
Release 2.1.0 of the randomSurvivalForest package is now available.
--------------------------------------------------------------------------------------------------
CHANGES TO RELEASE 2.1.0
Release 2.1.0 represents a minor upgrade of the product, and will not affect
most users of the prior version of the product. Key changes are as follows:
o R 2.5.0 compliance issues and
2001 Feb 24
1
PMML- Predictive model markup language
Hi all,
I caught a passing reference to PMML on the WEKA list (I think) .. an XML
way of communicating 'data mining models'. I am of the opinion that XML
is a 'good thing' and I would for instance like to see a standard XML way
of communicating the content and context of datasets (eg of timeseries)
but it has been a long day and my internet connection is slow and so I
have
2012 May 18
1
glmnet object to pmml
Dear R users
I used glmnet generating a regression model, now I need to convert it to pmml format, but I noticed pmml r package doesn''t support glmnet object, has anyone find a way solving this problem? I was thinking convert glmnet object to glm object, has anyone tried it?
Many thanks
Yan
[[alternative HTML version deleted]]
2009 Jan 06
0
pmml 1.2.0 (predictive modelling markup language)
Version 1.2.0 of pmml has been released and is available from CRAN.
The pmml package (http://rattle.togaware.com/pmml.html) is part of the
Rattle data mining suite http://rattle.togaware.com. It generates
representations of analytic models built in R using the open standard
predictive modelling markup language (http://www.dmg.org/).
PMML represents analytic models in an application independent
2009 Jan 06
0
pmml 1.2.0 (predictive modelling markup language)
Version 1.2.0 of pmml has been released and is available from CRAN.
The pmml package (http://rattle.togaware.com/pmml.html) is part of the
Rattle data mining suite http://rattle.togaware.com. It generates
representations of analytic models built in R using the open standard
predictive modelling markup language (http://www.dmg.org/).
PMML represents analytic models in an application independent
2007 Jul 31
0
randomSurvivalForest 3.0.0 now available
Dear useRs:
Release 3.0.0 of the randomSurvivalForest, an ensemble tree method for
the analysis of right censored survival data, package is now
available.
---------------------------------------------------------------------------------
CHANGES TO RELEASE 3.0.0
Release 3.0.0 represents a major upgrade in the functionality of the
2.x releases. Key changes are as follows:
o Missing data can be
2007 Jul 31
0
randomSurvivalForest 3.0.0 now available
Dear useRs:
Release 3.0.0 of the randomSurvivalForest, an ensemble tree method for
the analysis of right censored survival data, package is now
available.
---------------------------------------------------------------------------------
CHANGES TO RELEASE 3.0.0
Release 3.0.0 represents a major upgrade in the functionality of the
2.x releases. Key changes are as follows:
o Missing data can be
2011 Jun 06
2
Obtener las reglas de un árbol de decisión
Hola,
Me gustaría obtener las reglas que genero con un árbol de decicisión
creado con party. Algo parecido a lo que realiza esta función con rpart
http://www.togaware.com/datamining/survivor/Convert_Tree.html la idea es
disponer de esas reglas en un fichero de texto.
En general si alguien sabe de algún paquete que permita obtener el código
que genera la puntuación, el "score" para un
2011 Oct 12
0
PMML for Cox Regression
Hi,
We have created a cox regression model (coxph) and exported from R as PMML
using the Rattle package. The resulting PMML is a standard Regression model
in the format y=b1*x1+b2*x2+??.bn*xn:
risk= (0.027968680616809*dropped_Calls)+(0.00777220409115466*helpdesk_Calls)
The PMML is included at the end of this post.
Cox Regression is usually in this format:
h(t)= h0(t)*e^(b1*x1+b2*x2+??.bn*xn)
2017 Nov 15
0
How to read PMML data from a text file and convert it to a model ?
Dear All,
I want to save the XML representation of a model using PMML. Then I want to
read the model and predict using the model and a new dataset.
This is described in this blog post :
https://www.r-bloggers.com/predictive-modeling-using-r-and-the-openscoring-engine-a-pmml-approach/
I am able to save the PMML representation of the model. I am not able to
read this representation convert it
2011 Jan 28
1
arules package question- apriori/S4 object export question
I am new to R( but quickly being awed by the range of this it can accomplish,
you have one more convert to the useR universe). I have successfully
implemented the apriori function and are getting great results. My question
concerns how to export these results. I have read lots about write.csv
functions and exporting data frames and other standard objects. Im having
difficulty working with these S4
2007 Jun 05
0
Package update: pmml version 1.1.1
Version 1.1.1 of the pmml package (PMML = Predictive Modelling Markup
Language) has been uploaded to CRAN. This version adds pmml.lm to
generate PMML for linear models (currently, without interactions).
The PMML package is part of the Rattle toolkit for data
mining. Further information from http://rattle.togaware.com.
Regards,
Graham
_______________________________________________
R-packages
2007 Jun 05
0
Package update: pmml version 1.1.1
Version 1.1.1 of the pmml package (PMML = Predictive Modelling Markup
Language) has been uploaded to CRAN. This version adds pmml.lm to
generate PMML for linear models (currently, without interactions).
The PMML package is part of the Rattle toolkit for data
mining. Further information from http://rattle.togaware.com.
Regards,
Graham
_______________________________________________
R-packages
2009 Jul 08
1
How to deploy statistical models built in R in real-time?
I am framing this as a question since I would like to know how folks
are currently deploying the models they build in R. Say, you want to
use the results of your model inside another application in real-time
or on-demand, how do you do it? How do you use the decisions you get
back from your models?
As you may know, a PMML package is available for R that allows for
many mining model to
2011 Feb 17
0
Predictive Analytics with R, PMML and ADAPA
This is a presenation from the R Users Group (Bay Area)
Covers building predictive analytic models in R, exporting in PMML and
using ADAPA for model deployment and execution. Introduction to the
Predictive Model Markup Language (PMML) standard and how it helps to
overcome memory and speed limitations of R and makes models available
for operational deployment and integration via web services.
2009 Feb 03
0
Deploying a R model on a cloud computer using PMML
Dear List,
Please find an interview from Michael Zeller ,CEO, Zementis. Mike talks
about how to use an existing model ( created in R) , using PMML as an
intermediate for exporting the model, and deploying it on a cloud computer
for as low as 1 $ per hour.
Regards,
Ajay
*Ajay-* *What are the traditional rivals to scoring solutions offered by
you. How does ADAPA compare to each of them. Case