extern crate radiate;
use radiate::models::neat::{
neatenv::NeatEnvironment,
neat::Neat,
};
use super::populationdto::NeatPopulationBuilder;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrainDto {
pub epochs: i32,
pub learning_rate: f32
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrainingSetDto {
pub inputs: Vec<Vec<f32>>,
pub answers: Vec<Vec<f32>>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RadiateDto {
pub env: Option<NeatEnvironment>,
pub train: Option<TrainDto>,
pub neat: Option<Neat>,
pub population: Option<NeatPopulationBuilder>,
pub training_set: Option<TrainingSetDto>,
}
impl RadiateDto {
pub fn new() -> Self {
RadiateDto {
env: None,
train: None,
neat: None,
population: None,
training_set: None,
}
}
pub fn env(mut self, env: NeatEnvironment) -> Self {
self.env = Some(env);
self
}
pub fn train(mut self, epochs: i32, learning_rate: f32) -> Self {
self.train = Some(TrainDto { epochs, learning_rate });
self
}
pub fn training_set(mut self, inputs: Vec<Vec<f32>>, answers: Vec<Vec<f32>>) -> Self {
self.training_set = Some(TrainingSetDto { inputs, answers });
self
}
pub fn neat(mut self, neat: Neat) -> Self {
self.neat = Some(neat);
self
}
pub fn population(mut self, pop: NeatPopulationBuilder) -> Self {
self.population = Some(pop);
self
}
pub fn to_json(&self) -> String {
serde_json::to_string_pretty(&self).unwrap()
}
}