Apache® Spark™ News

How to Use MLflow, TensorFlow, and Keras with PyCharm

At Spark + AI Summit in June, we announced MLflow, an open-source platform for the complete machine learning cycle. The platform’s philosophy is simple: work with any popular machine learning library; allow machine learning developers to experiment with their models, preserve the training environment, parameters, and dependencies, and reproduce their results; and finally deploy, monitor and serve them seamlessly—all in an open manner with limited constraints.