BigML is a service for cloud-hosted machine learning and data analysis. Users can set up a data source, create a dataset, create a model from the dataset, and then make predictions based on the data. The BigML API allows developers to access and integrate the functionality of BigML with other applications and to create new applications. Public documentation is not available; API access comes with account and service.
Data, Analytics, Big Data
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How to create predictions with BigML machine learning
BigML offers machine learning services. The company also provides resources to practice, learn, and teach machine learning. In this tutorial, developers can know how to make predictions using either a model/id or a ensemble/id and the new instance (input_data). Some of the information includes base URL, auth, create a prediction, arguments, retrieve a prediction, properties of prediction path object, and prediction status. If developers ask themselves what are some useful prediction samples, they can visit the models' site where they can find visuals of patient satisfaction surveys, loan repayments, Kindle book reviews, and Super Bowl winners. This is older, archived content that may not contain a detailed description of the how-to. Please refer to the URL below for the complete how-to.
BigML Libraries Big ML offers client libraries for application integrations related to machine learning. The...
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