we are going to do here is look at how
to set up and configure the PMML iron
machine learning agent this agent allows
you to perform predictive analytics
using the PMML execution engine I
already have a CSV listener set up and
configured which will get data from the
CSV file let's look at how this agent
has been configured as you can see
there's a number of CSV definitions that
have been map let's look at the file
that's been uploaded here the CSV file
contains records of tips received by
waiters in a specific restaurant now we
need to set up and configure the PMML
agent so I'm going to minimize this and
close the configuration screen for the
csv agent to add the PMML agent to your
canvas go to the toolbox and search for
the agent you will find it on the I iron
machine-learning click on the agent and
drag it to the canvas now connect the
output end point of the csv agent to the
input end point of this agent note the
default name has been given to this
agent to rename this agent just click on
the white space and start typing
click something else on the canvas and
click Save to configure this agent click
on it and click on configure first you
need to make sure that you're using the
correct collection if you'd like to use
another one just select it from the
drop-down next you need to browse to an
uploaded PMM file that contains details
of your predictive model that you'd like
to execute as soon as this file is
uploaded you will see there's a number
of things that you need to map map the
data field column for all rows in the
grid this applies to all models except
the Association rules model for the
Association rules model there will be an
item's field that you will have to map
I'm just going to go ahead and map these
values quickly
now click on apply click Save to run
your data stream click on publish to
view the live data click on live view
select your PMML agent and click Save
then give it a second or two to expand
this page click on maximize there you
can see the tip that has been predicted
