Our new eBook “Data-Driven Analytics Use Cases Powered by the Avalanche Cloud Data Platform” is designed for users and application builders looking to address a wide range of data analytics, integration, and edge use cases. We have included the following examples from real-world customer experiences and deployments to serve as a guide to help…
Machine learning is a type of artificial intelligence that provides machines the ability to automatically learn from historical data to identify patterns and make predictions. Machine learning implementation can be complex and success hinges on using the right integration, management, and analytics foundation. The Actian Data Platform is an excellent choice for deploying machine…
In the first part of this two-part article, we created the model. In this installment, we will create the UDF’s in database. We can convert the model to Python, and I used m2cgen to transpile the sklearn model to Python model I will be making 3 types of UDF’s, Python UDF JavaScript UDF Saving…
Recently in Avalanche, VectorH 6.0, and Vector 6.0, Actian introduced a capability for Scalar user-defined functions (UDF’s). This has given Avalanche, VectorH, and Vector a new dimension to run Machine Learning (ML) models in Python and JavaScript within database. More about UDF’s can be found in our documentation. Model creation is simple with so…
Why embedded software application developers should dump flat files before they have to run dump on them I wrote an initial blog a few weeks ago on flat files and why embedded software application developers readily adopted them. Then in the next blog, I covered why embedded developers are reluctant to use databases. In…
