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Cargo.toml
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75 lines (62 loc) · 1.76 KB
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[package]
name = "rust_weather_ml"
version = "0.1.0"
edition = "2021"
authors = ["Your Name <your.email@example.com>"]
description = "A production-grade machine learning system for weather prediction built entirely in Rust"
license = "MIT"
repository = "https://github.com/yourusername/RustForMachineLearning"
keywords = ["machine-learning", "weather", "rust", "prediction"]
categories = ["science", "algorithms"]
[lib]
name = "rust_weather_ml"
path = "src/lib.rs"
[[bin]]
name = "daily_predictions"
path = "src/bin/daily_predictions.rs"
[dependencies]
# ML libraries (smartcore with serde for model serialization)
linfa = "0.7"
linfa-trees = "0.7"
linfa-linear = "0.7"
linfa-logistic = "0.7"
linfa-preprocessing = "0.7"
smartcore = { version = "0.3", features = ["serde"] }
# Model serialization / hashing
bincode = "1.3"
sha2 = "0.10"
# Data handling
polars = { version = "0.46", features = [
"lazy", "parquet", "csv", "json",
"dtype-datetime", "dtype-duration",
"rolling_window", "strings", "temporal",
"rank", "abs", "log", "trigonometry",
"round_series", "cum_agg", "is_in"
] }
ndarray = { version = "0.16", features = ["serde"] }
ndarray-stats = "0.6"
# API & serialization
reqwest = { version = "0.12", features = ["json", "blocking"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
# Utilities
chrono = { version = "0.4", features = ["serde"] }
tokio = { version = "1.0", features = ["full"] }
anyhow = "1.0"
thiserror = "2.0"
# Statistics
statrs = "0.18"
# CLI
clap = { version = "4.0", features = ["derive"] }
# Logging
tracing = "0.1"
tracing-subscriber = "0.3"
[dev-dependencies]
criterion = "0.5"
tempfile = "3.0"
[profile.release]
opt-level = 3
lto = true
[features]
default = []
neural = [] # Enable neural network support with Burn