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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
I love this tool, but think it would be improved by including an option to create a column per delimiting character. This could be added in the number of columns selector box. In the case where 1 row has more delimiters than another, null columns can be created. Without this option you have to Regex count the delimiters, select the max and then embed the Text to columns tools in a macro and then pass the max columns as a param. Would be nice to resolve all this in the main tool.
Thanks, nick
A common problem with the R tool is that it outputs "False Errors" like the following: "The R.exe exit code (4294967295) indicted an error"
I call this a false error because data passes out of the R script the same as if there were no error. As such, this error can generally be ignored. In my use case, however, my R tool is embedded within an iterative macro, and the error causes the iterator to stop running.
I was able to create a workaround by moving the R tool to a separate workflow and calling it from the CReW runner macro within my iterator, effectively suppressing the error message, but this solution is a bit clumsy, requires unnecessary read/writes, and uses nonstandard macros.
I propose the solution suggested by @mbarone (https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Boosted-Model-Error/td-p/5509) to only generate an error when the R return code is 1, indicating a true error, and to either ignore these false errors or pass them as warnings. This will allow R scripts and R-based tools to be embedded within iterative macros without breaking.
I propose another wildcard, %ErrorLog%, that would simply output the error codes and narratives instead of having to use the %OutputLog% to see these. I'd rather not have a 4 MB text email depicting every line of code and action in the module when all I really need to see are the errors.
Hi, I'm new to Alteryx; we've had for just about a month. We started publishing our workflows to Tableau and it's working great.
One issue I foresee:
User credentials to the Tableau server are updated occasionally. When this occurs, I will have to update the credentials manually in each workflow.
The number of workflows we are publishing is growing. Is there a way to automate this process?
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