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pkalivas committed Jan 9, 2025
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2 changes: 1 addition & 1 deletion docs/examples.md
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```rust
use radiate::*;
use radiate_extensions::*;
use radiate_gp::*;

const MAX_INDEX: i32 = 500;
const MIN_SCORE: f32 = 0.01;
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2 changes: 1 addition & 1 deletion docs/extensions.md
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# Extensions

The radiate-extensions provides genetic programming capabilities.
The radiate-gp provides genetic programming capabilities.

The crate is not yet documented to the extent it should be, but you can refer to the [examples](https://github.com/pkalivas/radiate/tree/master/radiate-examples) for now.

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6 changes: 3 additions & 3 deletions docs/quickstart.md
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## Configuration
```toml
[dependencies]
radiate = "1.2.6"
radiate = "1.2.7"
```

## Core Implementations
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## Extensions

For genetic programming Radiate offers a separate crate called [radiate-extenions](https://crates.io/crates/radiate-extensions) which extend the core library with additional features. Mainly it provides a [genetic programming](https://en.wikipedia.org/wiki/Genetic_programming#:~:text=In%20artificial%20intelligence%2C%20genetic%20programming,to%20the%20population%20of%20programs.) - probems that are represented as Trees (Expression Trees) or Graphs (NeuroEvolution). These offer powerful ways to solve complex problems.
For genetic programming Radiate offers a separate crate called [radiate-gp](https://crates.io/crates/radiate-gp) which extend the core library with additional features. Mainly it provides a [genetic programming](https://en.wikipedia.org/wiki/Genetic_programming#:~:text=In%20artificial%20intelligence%2C%20genetic%20programming,to%20the%20population%20of%20programs.) - probems that are represented as Trees (Expression Trees) or Graphs (NeuroEvolution). These offer powerful ways to solve complex problems.

```toml
[dependencies]
radiate-extensions = "0.1.2"
radiate-gp = "0.0.1"
```

!!! note
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