Recently in the SAS Community Library: SAS' @Sundaresh1 highlights a sometimes overlooked task when applying document embeddings for purposes of similarity-based search. Normalisation of vectors helps obtain relevant matches.
when use proc logistic procedure to set up default model in bank risk analysis, for the current customer, there are 4 kinds of results after application for the loan, accept, refuse , cancel or nouse. when set up model, to analysis if new customer will default or could approve their application of loan, we will use the current customer loan history. refused=1, accept=0 but how to deal with cancel and nouse, i think nouse looked as accepted, but for cancel, how to deal with it?
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Hi all - ¿How can I connect files from a web server to sas viya? I want to automatically capture the log files in .gz, and then process them (ex: domain.com-2024-04-11.gz).
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refer to an old post below. i searched , but can't find any sample program. can anyone post a specific link for sample program? thanks. Solved: Nonmem Program - SAS Support Communities
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Hi there, I am running into issues with the lag function. I am able to use lag(variable), if recalling only the observation immediately prior, however I am not able to use lag2(variable), lag3(variable), etc.. As soon as I enter a numerical value (n) next to the lag function, it is no longer highlighted in blue or recognized as a SAS function. Checking my data shows it is not picking up the function, beyond the first lag(variable), with no 'n' specified. Has anyone experienced this? I am using SAS Studio.
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Hello Community, I'm at a crossroads and would appreciate your insights. I aspire to work as a biostatistician or data scientist in the pharmaceutical sector, where proficiency in SAS is often a prerequisite. While I haven't used SAS in my previous roles, it seems crucial for roles in the pharma industry. Considering this, do you think it's worth investing 1-2 years to learn SAS for my career goals, or do you foresee a shift towards R/Python in these industries in the near future? Your advice and perspectives are highly valued. Thanks in advance!
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