How do you build the most efficient pipeline network? ๐ค I built a Python app that connects cities using MST & optimizes flow! ๐บ๏ธ Visualized with Streamlit/Plotly.
Live App: https://t.co/I8nAlHONCU
Check out the video: https://t.co/uoXEQpT6Xo
Replacing MPS with Parquet, is it a good idea?
MPS is the standard used to store mathematical problems on disk.
However, MPS is a text-based file format that can be expensive to parse for large instances.
This project benchmarks the runtime required to parse MPS files in MIPLIB using the HiGHS solver.
We propose a new solution to store the problems as parquet files to accelerate the parsing.
Kafka 4.0 no longer requires Zookeeper. This significantly reduces its overhead and improves its usability.
Here is a demo project to help you get started. We use docker-compose to set up the infrastructure and PySpark to convert the data into Parquet files.
@fchollet Might sound impractical. A diagnosis tool based on History object. Example: โ99%train_acc/50%val_acc => Warning clear overfitting. We recommend reducing the model size or add regularization, etc.โ Identify bias/variance problems. Guiding the user a bit with common ML knowledge.