Docs.rs
quantrs2-device-0.1.3
quantrs2-device 0.1.3
Docs.rs crate page
Apache-2.0
Links
Repository
crates.io
Source
Owners
cool-japan
Dependencies
aes-gcm ^0.10.3
normal
optional
async-trait ^0.1
normal
optional
broadcast ^0.1
normal
bytemuck ^1.25.0
normal
optional
chrono ^0.4
normal
optional
fastrand ^2.3.0
normal
futures ^0.3
normal
optional
hex ^0.4.3
normal
optional
hmac ^0.12.1
normal
optional
num_cpus ^1.17.0
normal
oxicode ^0.2.1
normal
petgraph ^0.8
normal
quantrs2-circuit ^0.1.3
normal
quantrs2-core ^0.1.3
normal
reqwest ^0.13.2
normal
optional
scirs2-autograd ^0.4.0
normal
scirs2-core ^0.4.0
normal
scirs2-fft ^0.4.0
normal
scirs2-graph ^0.4.0
normal
optional
scirs2-linalg ^0.4.0
normal
optional
scirs2-metrics ^0.4.0
normal
scirs2-optimize ^0.4.0
normal
optional
scirs2-stats ^0.4.0
normal
serde ^1.0
normal
serde_json ^1.0
normal
sha2 ^0.10.8
normal
optional
thiserror ^2.0.18
normal
tokio ^1.50.0
normal
optional
url ^2.5.8
normal
uuid ^1.23.0
normal
optional
x25519-dalek ^2.0.1
normal
optional
criterion ^0.8
dev
tokio-test ^0.4
dev
Versions
100%
of the crate is documented
Platform
x86_64-unknown-linux-gnu
Feature flags
docs.rs
About docs.rs
Badges
Builds
Metadata
Shorthand URLs
Download
Rustdoc JSON
Build queue
Privacy policy
Rust
Rust website
The Book
Standard Library API Reference
Rust by Example
The Cargo Guide
Clippy Documentation
Skip to main content
Module ml_analytics
quantrs2_
device
0.1.3
Module ml_
analytics
Module Items
Structs
Enums
In quantrs2_
device::
performance_
dashboard
quantrs2_device
::
performance_dashboard
Module
ml_
analytics
Copy item path
Source
Expand description
ML Analytics Configuration Types
Structs
§
Evaluation
Config
Feature
Config
MLAnalytics
Config
Machine learning analytics configuration
Training
Config
Enums
§
Dimensionality
Reduction
Evaluation
Metric
Feature
Engineering
Rule
Feature
Selection
Method
Model
Selection
Criteria
Prediction
Model