Difference between revisions of "MLflow"

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* [[Gradient Descent Optimization & Challenges]]
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* [http://mlflow.org/ MLflow.org]
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* [http://github.com/mlflow/mlflow MLflow | GitHub]
  
[http://developers.google.com/machine-learning/glossary/ The primary algorithm for performing gradient descent on neural networks. First, the output values of each node are calculated (and cached) in a forward pass. Then, the partial derivative of the error with respect to each parameter is calculated in a backward pass through the graph. Machine Learning Glossary | Google]
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MLflow is an open source platform for the complete machine learning lifecycle. MLflow is designed to work with any ML library, algorithm, deployment tool or language. It is very easy to add MLflow to your existing ML code so you can benefit from it immediately, and to share code using any ML library that others in your organization can run. MLflow is also an open source project that users and library developers can extend. [http://www.kdnuggets.com/2018/07/manage-machine-learning-lifecycle-mlflow.html Manage your Machine Learning Lifecycle with MLflow]
  
  
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Revision as of 02:11, 16 March 2019

Youtube search... ...Google search

MLflow is an open source platform for the complete machine learning lifecycle. MLflow is designed to work with any ML library, algorithm, deployment tool or language. It is very easy to add MLflow to your existing ML code so you can benefit from it immediately, and to share code using any ML library that others in your organization can run. MLflow is also an open source project that users and library developers can extend. Manage your Machine Learning Lifecycle with MLflow


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