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I go on person Posit :: conf 2025 In Atlanta, give a conversation about how the fundamental R development practices have made model board (what I define as all the things that happen after
first implementation) Better for us in recent years.
As the conversation came together, the higher level is than the summary I submitted earlier this year, but it is pretty close.
Abstract (from the Sesscatalog):
Government ML models Build with R
For a model to offer value in the production, it must be suitable for goal and employable in the Mlops environment. We know that R offers a large number of tools and packages for building good models; This lecture will demonstrate a way in which we have been successful in putting together R and R packing functions to offer a stable basis for model implementation and governance after production. Degenen die deze lezing bijwonen, zullen leren hoe, door het centreren van modelontwikkeling op pakketten, het schrijven van tests terwijl we gaan, intuïtieve S3 -methoden creëren, en meer, we gemodulariseerde, testbare code kunnen bouwen die bewerkingen scheidt van modellering, waardoor onze modellen gemakkelijker te implementeren, te bewaken en te updaten, of de omgeving CI/CD, modelregisters, schema’s, of iets contains different or something else.
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