anomaly-grid 0.2.2

Variable-order Markov model library for anomaly detection in finite-alphabet sequences with information-theoretic scoring.
Documentation 
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[dependencies.rayon]
version = "1.10.0"

[dependencies.smallvec]
version = "1.13.0"

[[example]]
name = "financial_fraud_detection"
path = "examples/financial_fraud_detection.rs"

[[example]]
name = "industrial_iot_monitoring"
path = "examples/industrial_iot_monitoring.rs"

[[example]]
name = "network_security_monitoring"
path = "examples/network_security_monitoring.rs"

[[example]]
name = "quick_start"
path = "examples/quick_start.rs"

[[example]]
name = "system_log_analysis"
path = "examples/system_log_analysis.rs"

[lib]
name = "anomaly_grid"
path = "src/lib.rs"

[package]
authors = ["Juan Abimael Santos Castillo"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "algorithms", "data-structures", "visualization", "mathematics"]
description = "Variable-order Markov model library for anomaly detection in finite-alphabet sequences with information-theoretic scoring."
edition = "2021"
keywords = ["anomaly-detection", "markov-chains", "sequence-analysis", "pattern-detection"]
license = "MIT"
name = "anomaly-grid"
readme = "README.md"
repository = "https://github.com/Abimael10/anomaly-grid"
version = "0.2.2"

[[test]]
name = "comprehensive_test_runner"
path = "tests/comprehensive_test_runner.rs"

[[test]]
name = "lazy_computation_tests"
path = "tests/lazy_computation_tests.rs"