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GeezerVison is showing github.com — fix: Added MLflow metric charts across feature selection by ntkathole · Pull Request #6080 · feast-dev/feast

fix: Added MLflow metric charts across feature selection #6080

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franciscojavierarceo merged 1 commit into feast-dev:master from ntkathole:blog_mlflow

Mar 9, 2026

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fix: Added MLflow metric charts across feature selection #6080

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fix: Added MLflow metric charts across feature selection

ntkathole Mar 9, 2026

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7 changes: 6 additions & 1 deletion 7 infra/website/docs/blog/feast-mlflow-kubeflow.md

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Original file line number	Diff line number	Diff line change
		@@ -1,7 +1,7 @@
		---
		title: "Feast + MLflow + Kubeflow: A Unified AI/ML Lifecycle"
		description: Learn how to use Feast, MLflow, and Kubeflow to power your AI/ML Lifecycle
		date: 2026-02-23
		date: 2026-03-09
		authors: ["Francisco Javier Arceo", "Nikhil Kathole"]
		---

Expand Down Expand Up		@@ -366,6 +366,11 @@ This is exactly the kind of insight MLflow's comparison interface is built for.
		<p><em>MLflow's comparison view showing three runs side by side with different feature subsets. The "Show diff only" toggle highlights how the <code>features</code> parameter varies across runs, making it easy to identify which combination of Feast features produces the best results.</em></p>
		</div>

		<div style="text-align: center; margin: 20px 0;">
		<img src="/images/blog/mlflow-feast-feature-selection-metrics.png" alt="MLflow metric charts showing accuracy, AUC, F1, precision, and recall grouped by num_features across three feature subsets" loading="lazy" style="max-width: 100%; border: 1px solid #e0e0e0; border-radius: 8px;">
		<p><em>MLflow's metric charts view visualizing accuracy, AUC, F1, precision, and recall across all feature selection runs, grouped by <code>num_features</code>. This chart makes it easy to spot how model performance changes as more Feast features are included.</em></p>
		</div>

		Once you have identified the winning subset, the Feast registry ensures that only those features need to be materialized into the online store for production serving.

		### Hyperparameter sweeps
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Binary file added BIN +534 KB infra/website/public/images/blog/mlflow-feast-feature-selection-metrics.png

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