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ketanvijayvargiya.com | ||
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connorboyle.io
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| | | | | TL;DR: if you are using scikit-learn 1.3.X and use f1_score() or classification_report() with the argument zero_division=1.0 or zero_division=np.nan1, then there's a chance that the output of that function is wrong (possibly by any amount up to 100%, depending on the number of classes in your dataset). E.g. for zero_division=1.0: In this post, np.nan refers to numpy.nan? | |
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lsd.gnunet.org
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| | | | | This document contains the R 5 N DHT technical specification. R 5 N is a secure distributed hash table (DHT) routing algorithm and data structure for decentralized applications. It features an open peer-to-peer overlay routing mechanism which supports ad-hoc permissionless participation and support for topologies in restricted-route environments. Optionally, the paths data takes through the overlay can be recorded, allowing decentralized applications to use the DHT to discover routes. This document defines the normative wire format of protocol messages, routing algorithms, cryptographic routines and security considerations for use by implementers. This specification was developed outside the IETF and does not have IETF consensus. It is published here to guid... | |
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backdrifting.net
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gist.github.com
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| | | Speed-up secp256k1 by using endomorphism https://paulmillr.com/posts/noble-secp256k1-fast-ecc/ - explanation-simple.md | ||
