[Guisseppe sent me the files].
The issue is your training file.
As the manual page states:
"The user provides a set of objects (or segments) to be classified,
including all feature variables describing these object, and a set of
objects to be used as training data, including the same
Sorry for ignoring you up to now, just to much on the platter right now.
Would it be feasible for you to make the data available, privately if
necessary ? The easiest (and lightest) would be just the csv output of
v.db.select on the training_map and the segments_maps.
Moritz
On 2/12/19
No one can help me?
GC
Il giorno mer 20 nov 2019 alle ore 14:06 Giuseppe Cillis <
giucil...@gmail.com> ha scritto:
> Thanks for the answer.
>
> *v.class.mlR segments_map=gbbb@PERMANENT training_map=tainning@PERMANENT
> train_class_column=fd output_class_column=vote output_prob_column=prob
>
Thanks for the answer.
*v.class.mlR segments_map=gbbb@PERMANENT training_map=tainning@PERMANENT
train_class_column=fd output_class_column=vote output_prob_column=prob
folds=5 partitions=10 tunelength=10 weighting_metric=accuracy*
*and the same error with this command: *
*v.class.mlR
On 20/11/19 11:55, Giuseppe Cillis wrote:
Hi,
I'm trying to use this module for classification of an old aerial photos.
After a segmentation (i.segment and i.segment.stats), I would to use a
machine learning approach for the real classification.
I tried with v.class.mIR which use also R.
But
Hi,
I'm trying to use this module for classification of an old aerial photos.
After a segmentation (i.segment and i.segment.stats), I would to use a
machine learning approach for the real classification.
I tried with v.class.mIR which use also R.
But there is an error and I don't know how to solve
