Be sure to review our Idea Submission Guidelines for more information!
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
Parquet is a very fast, efficient and widely used data format, currently only below Parquet compression algorithms are supported and we cannot use Alteryx to read the parquet file that generated by other processes. This limits our usage in Alteryx.
Read support: Snappy and Gzip compression algorithms.
It would be great for Alteryx to support all types of Parquet format so we can maximize the use of Alteryx in data analysis.
Create a connector for Azure Cosmos DB, integrate it directly into their Alteryx workflows
I think it would be very helpful (and very easy) to add metadata to a yxdb with the name and location of the workflow that created or most recently updated that file. Right now I have to add a column to the data frame with a formula tool with the location, which puts the filepath on every single line, and is not how I want to present a finished product dataset to a superior. Thank you!
User | Likes Count |
---|---|
20 | |
6 | |
6 | |
6 | |
4 |