Fireflies.ai |
| Description | MLflow is a futuristic machine learning platform that helps developers manage the entire machine learning lifecycle in an efficient manner. In addition, it also helps users to proceed with experimentation, deployment, and reproducibility of codes. Currently, MLflow offers four components to individual users. The first component is Tracking, which helps developers with logging parameters, metrics, code versions, and output files while running the machine learning code and result analytics part. The second component is Projects that include a command-line and other API tools facilitating seamless management of projects in progress. This also makes it possible for developers to bring all projects with a single workflow. The third component being Models, which can be used for packaging machine learning models, besides proceeding with deployment in diverse serving environments. Finally, Registry- a centralized model serves as a store for APIs and UI, besides helping out users to proceed with the full life cycle of an MLflow Model. Real-time integration facilities with Kubernetes, Google Cloud, and TensorFlow, enables seamless business management. Read more | Evidently AI is a data monitoring platform that provides tools to assess and monitor machine learning models. It visualizes model performance and key metrics in real time. With Evidently AI, you can make a prioritized list of problems to fix and compare and contrast modern and historical statistics. You can find out which features have altered and whether or not important model drivers have switched. You can visually investigate and comprehend drift and understand how the goal and model forecasts vary over time. You can detect model deterioration ahead of time if the ground truth is delayed and recognize when data is faulty. You can detect missing values or out-of-range characteristics and determine the overall quality at a look. You can make changes in correlations and statistical features on the fly along with using data areas to slice the model's performance. You can inspect the aggregate quality to see where the model falls short and use a single command to export HTML reports. Additionally, you can share graphics with the rest of your team and the company's stakeholders. Read more |
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Evidently AI Others |
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| Company Details | Located in: San Francisco, California | Located in: San Francisco, California |
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