sklears-metrics 0.1.0-beta.1

Evaluation metrics for sklears: accuracy, precision, recall, F1, ROC-AUC, etc.
Documentation

sklears-metrics

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 25 feature flags, 1 of them enabled by default.

default

std (default)

async

bytemuck

cuda

disabled-for-stability

This feature flag does not enable additional features.

distributed

full

futures

gpu

This feature flag does not enable additional features.

latex

memmap2

mmap

mpi

optimized

oxicode

parallel

rayon

scirs2-linalg

scirs2-metrics

serde

simd

tinytemplate

tokio

tokio-stream

wide