About DaisyQL

BadshahMukherje · ‎11-03-2021

The new Open Source packages for Python, sas-scoring-translator-python (pysct), and for R, sas-scoring-translator-r (rsct), which translate (wrap) SAS scoring code to those languages. https://communities.sas.com/t5/SAS-Communities-Library/SAS-Scoring-code-translator-for-Python-and-R/ta-p/759542

DaisyQL · ‎12-11-2020

To my understanding of your question, once you finished building your model in Model Builder, export it into the Model Manager. Externally, your application could make a RESTful request to Model Manager, in your RESTful call you might be able to submit the input data for prediction.

lucasdepaula · ‎11-19-2020

Hi Daisy, do you want to display the full page as-is or the individual plots (lift, roc, accuracy, etc?). If you want to save the data used to generate those plots, you can follow these steps: - right click the model comparison node and choose "results" - switch to the assessment tab - click on the download button in each of the plots, download the CSV - import it using manage data and visualize it using VA.

DaisyQL · ‎11-17-2020

Thank you so much! It is so helpful and you save my life! I checked my log and found the issue, because I had missing data in fullX, once I remove the missing data, the node can produce the result. Thanks again for helping me locate the error message. I was very struggling with finding out the error in the log, maybe the team could consider highlight the python error message in the future that would be easier for users like me know very little about SAS code.

DaisyQL · ‎11-04-2020

Actually, I just figure it out and I was able to run the python model. after this fix: dm_scoreddf = pd.DataFrame(dm_model.predict(fullX), columns=['P__va_d_ped_death_bin']) So what happened is I copied the example code without checking. For interval variable "_va_d_ped_death_bin", the script did not recognize the levels. Once I fix how to create the dm_scoreddf it works afterwards

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