Hi, I have been working on a binary predictive model for months. I am trying to optimise the variable selection. I have around 12. Using lasso, best subset, trees etc is not what I’m looking for. I am trying to loop through all the combinations but it is not only difficult to code, but I also doubt my laptop will be able to handle it if I code it....

https://github.com/hitsz-ids/synthetic-data-generator submitted by /u/hitszids [link] [comments]

def remove( data: Union[bytes, PILImage, np.ndarray], alpha_matting: bool = False, alpha_matting_foreground_threshold: int = 240, alpha_matting_background_threshold: int = 10, alpha_matting_erode_size: int = 10, session: Optional[BaseSession] = None, only_mask: bool = False, post_process_mask: bool = False, bgcolor: Optional[Tuple[int, int, int, int]]...

Website: https://agentclinic.github.io/ Arxiv: https://arxiv.org/pdf/2405.07960 TLDR: AgentClinic turns static medical QA problems into agents in a clinical environment (doctor, patient, medical devices) in order to present a more clinically relevant challenge for medical language models. Abstract: Diagnosing and managing a patient is a complex, sequential...

Why do non-technical figures lead the charge in AI? Pichai, Nadella, Fidji (Open AI board member), Altman, Murati, and many other VPs of AI in FAANG. Despite never coding, they hold sway in AI. Meanwhile, those coding and publishing groundbreaking work are often stuck at lower levels. What's the deal? Why isn't the industry recognizing those publishing...

Is it easy to implement model parallelism with common frameworks like PyTorch and Tensorflow? It depends on the model architecture? What are the most used approaches on model parallelism ? submitted by /u/Various_Protection71 [link] [comments]