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@@ -139,7 +139,7 @@ This feature lets you easily get a full genealogy of every trained and used mode
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Full metrics logging is the key to finding the best performing model!
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By default, everything that's reported to TensorBoard and Matplotlib is automatically captured and logged.
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Since not all metrics are tracked that way, it's also possible to manually report metrics using the [`logger`](../../fundamentals/logger.md) object.
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Since not all metrics are tracked that way, it's also possible to manually report metrics using a [`Logger`](../../fundamentals/logger.md) object.
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It's possible to log everything, from time series data to confusion matrices to HTML, Audio and Video, to custom plotly graphs! Everything goes!
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