Error with ANN about lsat HOT 1 OPEN

Hello Daniel,

looks like you are running out of memory while trying to train an Artifical Neural Network (ANN) model using a raster with 65,329,200 cells and 100 discrete values. The unique values might be divided among multiple discrete raster datasets.

You could try decreasing the resolution of the raster and thus decreasing the amount of raster cells or combining the unique values.

So, I don't know why this error appears when the raster type and the type of data are according to the tool request

LSAT does not request discrete or continuous parameters. It just makes a guess based on the type of raster provided (int -> discrete; float -> continuous), see my answer at #28.

If the error is not because of the wrong parameter type could you please share the raster data set (if possible) so I can take a closer look, or tell me the raster size and type?

Cheers,
Nick

P.S. I have been on vacation for the past three weeks and was unable to get back to you sooner.

from lsat.