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Thank you for the tool! I am trying to train it on a reference dataset with 6 categories. I am passing a ranked expression matrix, and getting these warnings:
line search fails -2.997281 0.4479518 1.386412e-05 4.884435e-06 -2.140079e-08 7.262897e-09 -2.612279e-13 Warning message in method$predict(modelFit = modelFit, newdata = newdata, submodels = param): “kernlab class prediction calculations failed; returning NAs”
This is the code snippet for training (with all defaults): reference <- trainModel(reference)
What can be the reason? Do I need to tweak any of the arguments to the trainModel function to avoid this behaviour?
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered:
Hi,
Thank you for the tool! I am trying to train it on a reference dataset with 6 categories. I am passing a ranked expression matrix, and getting these warnings:
line search fails -2.997281 0.4479518 1.386412e-05 4.884435e-06 -2.140079e-08 7.262897e-09 -2.612279e-13 Warning message in method$predict(modelFit = modelFit, newdata = newdata, submodels = param): “kernlab class prediction calculations failed; returning NAs”
This is the code snippet for training (with all defaults):
reference <- trainModel(reference)
What can be the reason? Do I need to tweak any of the arguments to the trainModel function to avoid this behaviour?
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered: