Increasing rapidminer resolution for very small numbers
I am not sure how to do this, I tried to check if there is any settings in preferences but could not find one. I have a model statistics data-frame that I am passing through as a result form Execute Python block, which looks as the following figure.
The particular hyper parameter that are problem is regularization terms lambda and alpha.
The output of the same parameters looks like this as an Example Set.
I can convert it to string though to ensure the numbers are stored correctly. But, is there a simpler way that I am unaware of to handle this issue?
The particular hyper parameter that are problem is regularization terms lambda and alpha.
The output of the same parameters looks like this as an Example Set.
I can convert it to string though to ensure the numbers are stored correctly. But, is there a simpler way that I am unaware of to handle this issue?
Find more posts tagged with
Sort by:
1 - 2 of
21
Thanks a lot @BalazsBarany . I assumed it was a display thing, but was searching for the settings in the UI tab rather than General 
Sort by:
1 - 1 of
11
Hi,
here you only see the display formatting.
You can verify that the actual numbers are being stored by using Generate Attributes and multiply the values by e. g. 1,000,000 to debug.
You can also increase the number of digits in the Preferences: General/Number format.
Regards,
Balázs
here you only see the display formatting.
You can verify that the actual numbers are being stored by using Generate Attributes and multiply the values by e. g. 1,000,000 to debug.
You can also increase the number of digits in the Preferences: General/Number format.
Regards,
Balázs
here you only see the display formatting.
You can verify that the actual numbers are being stored by using Generate Attributes and multiply the values by e. g. 1,000,000 to debug.
You can also increase the number of digits in the Preferences: General/Number format.
Regards,
Balázs