2 posts tagged with "Matplotlib"

Charts explain a run better than numbers: a loss curve, predicted against actual values, a confusion matrix. mlflow.log_figure() saves a Matplotlib figure straight into the run, with no temporary file to create or clean up. This guide logs a chart as PNG and SVG, logs one from pyplot without leaking memory, and finds them in the MLflow UI.

A single error score tells you how much a regression model misses on average. A predicted vs actual chart shows where it misses: which values it gets right, which it underestimates, and where the data itself is odd. This guide draws the chart with Matplotlib, saves it as a PNG, and reads a real one from a scikit-learn model.