mirror of
https://github.com/ruvnet/RuView
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rUv
f49c722764
The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
24 lines
1.0 KiB
Rust
24 lines
1.0 KiB
Rust
//! rUv Neural Decoder -- Cognitive state classification and BCI decoding
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//! from neural topology embeddings.
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//!
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//! This crate provides multiple decoding strategies for classifying cognitive
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//! states from brain graph embeddings and topology metrics:
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//!
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//! - **KNN Decoder**: K-nearest neighbor classification using stored labeled embeddings
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//! - **Threshold Decoder**: Rule-based classification from topology metric ranges
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//! - **Transition Decoder**: State transition detection from topology dynamics
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//! - **Clinical Scorer**: Biomarker detection via deviation from healthy baselines
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//! - **Pipeline**: End-to-end ensemble decoder combining all strategies
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pub mod clinical;
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pub mod knn_decoder;
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pub mod pipeline;
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pub mod threshold_decoder;
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pub mod transition_decoder;
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pub use clinical::ClinicalScorer;
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pub use knn_decoder::KnnDecoder;
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pub use pipeline::{DecoderOutput, DecoderPipeline};
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pub use threshold_decoder::{ThresholdDecoder, TopologyThreshold};
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pub use transition_decoder::{StateTransition, TransitionDecoder, TransitionPattern};
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