Altair RISE

A program to recognize and reward our most engaged community members

Nominate Yourself Now!

Reading data using field name

I am read a file into RM where there is no header row, each field has the name included in the filed value.

So where a typical CSV file would be:
ice_cream ,chocolate, candy
1,4,5
6,4,2

My files looks like:
"ice_cream"="1","chocolate"="4","candy"="5"
"ice_cream"="6","chocolate"="4","candy"="2"

Various other data mining programs allow for the "retain name" function, how does one deal with this inside of RapidMiner?

The problem that I face is that these files are large, reading them in retaining the field information and replacing it later with an operator uses more than the available system memory.

Find more posts tagged with

AI Studio

Accepted answers

jczogalla

Hi @robin!

If the data is to be big to fit in in one go, you could try to do a more "manual" approach. As I described in this thread, you can use the text extension to split the csv files into lines and the lines into separate values. It should also be possible to then modify each cell value before it is put into an example set.

Cheers

Jan

All comments

MartinLiebig

Hi @robin ,

this format looks very wired. Why is this being used? It produces a ton on overhead while storing it.

Anyway, is the ordering always the same? If yes, you can just read it as polynominals and replace.

BR,
Martin

robin

Yes, it is very heavy. It makes the file enormous. So large that I am unable to read the entire file into RM for processing, just cannot get to the point of using the replace operator.

In other programs there is the ability to read this in as a field name, can one do this in RM?

robin

In Linux I would use the stream editor and do:

sed 's/"ice_cream"="/g'

<?xml version="1.0" encoding="UTF-8"?><process version="9.0.002">

</context>

</operator>

</process>