Thanks! I fully get it now.   I have never done this. For all I know, it should be possible with the Rest APIs, making calls from any environment (aka Python - your IDE) to SAS Model Manager restAPIs. Please see the links at the bottom!   There is also the sas-viya CLI, that you could install, and has some functions to interact with SAS Model Manager from anything that can shell commands (os.system package). sas-viya CLI has a models plugin to interact with SAS Model Manager.   Moreover, reading the documentation, I just learnt: SAS Model Manager uses Kaniko in the background for publishing models, so you could alternatively use GIT & Docker instead, as documented: https://documentation.sas.com/doc/en/mdlmgrcdc/v_050/mdlmgrug/n1nrmfpk1ysdt6n1a3ysrcljhuuy.htm https://github.com/sassoftware/model-management-resources/blob/main/examples/OpenShiftContainerImages.md   I am sure you could build something nice around that piece of knowledge.   Those should be the basics IMHO. Some additional findings: - This github project is a compilation of rest API sample usage of SAS Model Manager in SAS VIya 3.5. THere might be some differences with Viya 4, but assume most of it will be very similar https://github.com/sassoftware/devsascom-rest-api-samples/blob/master/DecisionManagement/modelManagement.md   - I would keep this other project as your bible for SAS Model Manager: https://github.com/sassoftware/model-management-resources https://developer.sas.com/rest-apis?categories=models_and_decisions       ... View more

The CAS Libname Engine doesn't support Varbinary but you can use the Caslib with FedSQL or DS2 syntax instead which both support this data type. ... View more

Hello! I'll take a swing at this one.   In Visual Text Analytics on Viya, to see sentiment information you have to score the data. Download the score code for the Sentiment node. Copy the code and open it in SAS Studio. Enter the correct values for the first 5 macro variables such as data, key column, caslib. The OUT_SENTIMENT and OUT_SENT_MATCHES tables that get created by the scoring process will have your detailed sentiment information.   Your list of column names looks like additional input columns from your input data source that are visible in the text topic node and are not part of the sentiment analysis process.   Hope this makes sense! ... View more

Hello,   You are using Model Studio as UI for SAS Machine Learning, correct?   I believe SMOTE is available in the credit scoring nodes (add-on nodes), but not as a standard stand-alone node.   SAS® Viya® Platform Programming Documentation | 2023.12 Machine Learning Programming Guide Synthetic Minority Oversampling Technique Action Set https://go.documentation.sas.com/doc/en/pgmsascdc/v_046/casactml/cas-smote-TblOfActions.htm   Suggested Google searches: SMOTE site:lexjansen.com SMOTE site:blogs.sas.com SMOTE site:communities.sas.com SMOTE site:documentation.sas.com BR, Koen ... View more

It's way too long ago that I have used SAS DQ to really know so just guessing: What happens if you concatenate a fixed last name (like: Gates) to your variable with a first name only and then use dqmatch() on this string? ... View more

Thanks! ... View more

Hello,   You can first define a concept named 'Food' using the following rules: # The words you want to match CLASSIFIER:pasta CLASSIFIER:pizza # Remove the matches for the words that follow the verb eat. The 'eat@' represents all variations of the verb "eat". REMOVE_ITEM:(ALIGNED, "eat@ _c{Food}", "eat@ Food")   Then you'll get the results like I like pizza. -> match I like pasta. -> match I eat pizza. -> not match I ate pasta. -> not match  ... View more