Hello,

I am an intern and I am using BRTs to model functional diversity of reef
fish.
I am testing several values of lr and tc together so I can find optimal
settings for y models.
for some of my data, I get the folowwing error message :

"restart model with a smaller learning rate or smaller step size..."

When I reduce lr or n.trees (with very small values), I still get the same
error message.

This is related to the following line in the brt.functions script:
(cv.loss.values[j] > cv.loss.values[j-1]))
the data drames I am working on contain around 60 to 120 lines and I have 51
predictors.

I am new with BRTs  and I have no idea how to resolve this issue.
Any help would be appreciated!!

Thanks

Stephanie


*---------------------------
Stéphanie D'agata*
ECOSYM - UMR 5119 cc 93 Bat 24 - Université Montpellier II - Montpellier
COREUS - UR 227 - IRD Nouméa - Nouvelle-Calédonie
**

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