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.
The following is a list of SDKs from our SDK directory that matched your search term. Though your definition of an SDK may differ, in our world, we define SDKs as platform- specific tools for consuming existing APIs of the sort we list in our API directory. For example, the Ruby SDK for consuming the Twitter Ads API. If you think an SDK, API, or other asset is missing from our directory, be sure to check our guidelines for making contributions to ProgrammableWeb.
The BigML C# SDK by BigML access API content to create data sources, data sets, and models. In particular, the resources on GitHub work with LINQ, a provider of JSON objects exposed by the REST API according to the site. Authored by Jose Ribes.
The BigML iOS SDK by Felix Garcia Lainez allows interaction to the machine learning features of the API such as data sources, data sets, models, and predictions. References available include usage, testing, and support.
The BigML PHP SDK by BigML access the API features of machine learning. Created by Rostislav Mykhajliw, the SDK available on GitHub contains JSON handling methods in addition to sources, data sets, models, predictions, and evaluations as implementation references.
The BigML Ruby SDK by Vicent Gozalbes allows access to the API features of sources, data sets, models, and predictions. Developers can create, retrieve, update, and delete data from the API. References include gem installation and GitHub contribution.