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Release 0.3 (#235)

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Lorenzo
2022-11-08 15:22:34 +00:00
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src/metrics/mod.rs
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//! In a feedback loop you build your model first, then you get feedback from metrics, improve it and repeat until your model achieve desirable performance.
//! Evaluation metrics helps to explain the performance of a model and compare models based on an objective criterion.
//!
//! Choosing the right metric is crucial while evaluating machine learning models. In SmartCore you will find metrics for these classes of ML models:
//! Choosing the right metric is crucial while evaluating machine learning models. In `smartcore` you will find metrics for these classes of ML models:
//!
//! * [Classification metrics](struct.ClassificationMetrics.html)
//! * [Regression metrics](struct.RegressionMetrics.html)