MARTe's traditional approach for task parallelisation is to split the problem into several Real-Time Threads, each responsible for a self-contained sequential execution of an input-to-output chain.

Following up on a great conversation on Slack, here's a feature proposal for building more powerful, interactive data analysis agents with PydanticAI. When building agents for tasks like data analysis ...

Is your feature request related to a problem? Please describe. I am working with SequentialAgent, where I have an agent, based on its output key I want to decide whether I should run the remaining ...

Feature selection refers to choose an optimal non-redundant feature subset with minimal degradation of learning performance and maximal avoidance of data overfitting. The appearance of large data ...