Train predictive models and compare their results.
What it does
Builds and evaluates machine-learning models, producing trained checkpoints, performance metrics, and an evaluation report.
When to use it
Use for classification, regression, or clustering model-training tasks.
How to use it
Give it a model-training task; it produces trained model files, evaluation metrics, and a report.
Latest review
What you need · 7
The implementation uses Python; no runtime version is specified.
The implementation imports numpy to generate and manipulate the training data.
The implementation imports pandas.
The implementation imports matplotlib.pyplot for its comparison charts.
Access · 0
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