tangram_core 0.7.0

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
Documentation 
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pub use tangram_linear::TrainProgressEvent as LinearTrainProgressEvent;
use tangram_progress_counter::ProgressCounter;
pub use tangram_tree::TrainProgressEvent as TreeTrainProgressEvent;

#[derive(Clone, Debug)]
pub enum ProgressEvent {
	Info(String),
	Warning(String),
	Load(LoadProgressEvent),
	Stats(StatsProgressEvent),
	ComputeBaselineMetrics(ProgressCounter),
	ComputeBaselineMetricsDone,
	Train(TrainProgressEvent),
	Test(ModelTestProgressEvent),
	Finalize,
	FinalizeDone,
}

#[derive(Clone, Debug)]
pub enum LoadProgressEvent {
	Train(tangram_table::LoadProgressEvent),
	Test(tangram_table::LoadProgressEvent),
	Shuffle,
	ShuffleDone,
}

#[derive(Clone, Debug)]
pub enum StatsProgressEvent {
	ComputeTrainStats(ProgressCounter),
	ComputeTrainStatsDone,
	ComputeTestStats(ProgressCounter),
	ComputeTestStatsDone,
	Finalize,
	FinalizeDone,
}

#[derive(Clone, Debug)]
pub struct TrainProgressEvent {
	pub grid_item_index: usize,
	pub grid_item_count: usize,
	pub grid_item_progress_event: TrainGridItemProgressEvent,
}

#[derive(Clone, Debug)]
pub enum TrainGridItemProgressEvent {
	ComputeFeatures(ProgressCounter),
	ComputeFeaturesDone,
	TrainModel(ModelTrainProgressEvent),
	ComputeModelComparisonMetrics(ModelTestProgressEvent),
}

#[derive(Clone, Debug)]
pub enum ModelTrainProgressEvent {
	Linear(tangram_linear::TrainProgressEvent),
	Tree(tangram_tree::TrainProgressEvent),
}

#[derive(Clone, Debug)]
pub enum ModelTestProgressEvent {
	ComputeFeatures(ProgressCounter),
	ComputeFeaturesDone,
	Test(ProgressCounter),
	TestDone,
}