eml-core 0.1.0

EML (exp-ln) universal function approximation — O(1) learned functions from data
Documentation
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[package]
edition = "2021"
name = "eml-core"
version = "0.1.0"
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "EML (exp-ln) universal function approximation — O(1) learned functions from data"
readme = false
keywords = [
    "machine-learning",
    "symbolic-regression",
    "approximation",
    "eml",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/weave-logic-ai/weftos"

[features]
default = []
experimental-attention = []

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

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

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

[dependencies.serde]
version = "1"
features = ["derive"]

[dependencies.serde_json]
version = "1"