scirs2 0.1.3

A Rust port of SciPy with AI/ML extensions - Scientific Computing and AI Library (scirs2)
Documentation

scirs2

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 31 feature flags, 14 of them enabled by default.

default

standard (default)

cluster (default)

fft (default)

integrate (default)

interpolate (default)

linalg (default)

metrics (default)

optimize (default)

signal (default)

sparse (default)

spatial (default)

special (default)

stats (default)

transform (default)

ai

autograd

cache

This feature flag does not enable additional features.

datasets

experimental

full

graph

io

logging

This feature flag does not enable additional features.

memory_management

This feature flag does not enable additional features.

ndimage

neural

oxifft

profiling

This feature flag does not enable additional features.

series

text

vision