scirs2 0.1.0-beta.1

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 34 feature flags, 10 of them enabled by default.

default

standard (default)

fft (default)

integrate (default)

linalg (default)

metrics (default)

optimize (default)

signal (default)

sparse (default)

spatial (default)

transform (default)

accelerate

ai

autograd

cache

This feature flag does not enable additional features.

cluster

This feature flag does not enable additional features.

datasets

experimental

full

graph

interpolate

This feature flag does not enable additional features.

io

logging

This feature flag does not enable additional features.

memory_management

This feature flag does not enable additional features.

ndimage

netlib

neural

openblas

optim

This feature flag does not enable additional features.

profiling

This feature flag does not enable additional features.

series

special

This feature flag does not enable additional features.

stats

This feature flag does not enable additional features.

text

vision