how to fix the check Error in checkForRemoteErrors(val) in fit.IDE()

[JianWang0802]

Hi, andrewzm
I have a problem when I use the fit.IDE() command to train the model. the R occurs the error----" error in checkForRemoteErrors(val) : one node produced an error: error in evaluating the argument 'x' in selecting a method for function 't': chol(x) is undefined: 'x' is not positive definite."
I guess maybe my data set has a problem, but I'm not sure. and I don't how to fix this.
so, could you tell me how to fix

[andrewzm]

Hi Jian, Unfortunately i don't know what could be causing this. I just re-ran Lab5.2 of our book to check but did not have a problem with my data. My experience with IDE is that it is fairly robust. Unfortunately I don't actively support special issues like this due to time constraints... I guess you would need to load the package with devtools and see where the error is and see what may be causing it first of all. Best, Andrew

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On Mon, Nov 21, 2022 at 12:04 PM Jian Wang ***@***.***> wrote: Hi, andrewzm I have a problem when I use the fit.IDE() command to train the model. the R occurs the error----" error in checkForRemoteErrors(val) : one node produced an error: error in evaluating the argument 'x' in selecting a method for function 't': chol(x) is undefined: 'x' is not positive definite." I guess maybe my data set has a problem, but I'm not sure. and I don't how to fix this. so, could you tell me how to fix — Reply to this email directly, view it on GitHub <#7>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AABEU3IOQWPMDNK4RJJZU6LWJLDC5ANCNFSM6AAAAAASGD5QIA> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[JianWang0802]

Hi Jian, Unfortunately i don't know what could be causing this. I just re-ran Lab5.2 of our book to check but did not have a problem with my data. My experience with IDE is that it is fairly robust. Unfortunately I don't actively support special issues like this due to time constraints... I guess you would need to load the package with devtools and see where the error is and see what may be causing it first of all. Best, Andrew
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On Mon, Nov 21, 2022 at 12:04 PM Jian Wang @.> wrote: Hi, andrewzm I have a problem when I use the fit.IDE() command to train the model. the R occurs the error----" error in checkForRemoteErrors(val) : one node produced an error: error in evaluating the argument 'x' in selecting a method for function 't': chol(x) is undefined: 'x' is not positive definite." I guess maybe my data set has a problem, but I'm not sure. and I don't how to fix this. so, could you tell me how to fix — Reply to this email directly, view it on GitHub <#7>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AABEU3IOQWPMDNK4RJJZU6LWJLDC5ANCNFSM6AAAAAASGD5QIA . You are receiving this because you are subscribed to this thread.Message ID: @.>

Hi, Andrew.
Thanks for your reply. I had solved this problem. I found that when the proportion of randomly lost sample points was changed from 0.1 to 0.05, there was no problem in the process of model training. Because the number of spatial sample points for each of my timestamps is 30, the random loss value can be guaranteed to be 30 when the random loss ratio is set to 0.05. Furthermore, the training data set is composed of observations missing the entire time period and random missing values. So, the length of the train data set should be proven to be a multiple of 30. To sum up, maybe this problem is caused by that.

[andrewzm]

Thanks for the update.

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On Mon, 12 Dec 2022 at 22:09, Jian Wang ***@***.***> wrote: Hi, Andrew. Thanks for your reply. I had solved this problem. I found that when the proportion of randomly lost sample points was changed from 0.1 to 0.05, there was no problem in the process of model training. Because the number of spatial sample points for each of my timestamps is 30, the random loss value can be guaranteed to be 30 when the random loss ratio is set to 0.05. Furthermore, the training data set is composed of observations missing the entire time period and random missing values. So, the length of the train data set should be proven to be a multiple of 30. To sum up, maybe this problem is caused by that. — Reply to this email directly, view it on GitHub <#7 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AABEU3I277FIZRRSARRPDLDWM4BYNANCNFSM6AAAAAASGD5QIA> . You are receiving this because you commented.Message ID: ***@***.***>