The "Materialize Data" operator can be very useful. It has the effect of making a fresh copy of the data which I take to mean the example set or sets. Using this operator can often cure some tricky problems.
As an example, here is a process that does a simple cross validation on the sample sonar data set (you may have to change the location for your setup). Inside the cross validation the intermediate training and test data sets are remembered. In a later loop, these saved example sets are recalled. This shows details of how cross validation works.
The "Remember" operator fails to save the correct example if the preceding "Materialize Data" is disabled. In addition, the collection that is recalled later does not display correctly (on my 64 bit Windows machine). Enabling the "Materialize Data" operator restores correct operation.
Search this blog
Subscribe to:
Post Comments (Atom)
Awesome..I read this post so nice and very informative information...thanks for sharing
ReplyDeleteData Science Training in Hyderabad
Data Science course in Hyderabad
Data Science coaching in Hyderabad
Data Science Training institute in Hyderabad
Data Science institute in Hyderabad
This is a wonderful article, Given so much information in it, These type of articles keeps the user's interest in the website, and keep on sharing more ... good luck.
ReplyDeleteData Science Training in Hyderabad
Data Science course in Hyderabad
Data Science coaching in Hyderabad
Data Science Training institute in Hyderabad
Data Science institute in Hyderabad