You can also set up each type of model as a service that can be accessed programmatically through an API. We conduct a comprehensive evaluation of GraphLab on three state-of-the-art ML algorithms using real large-scale data and a 64 node EC2 cluster of 512 processors. In addition, the platform provides built-in GPU support which is extremely beneficial for training. GraphLab offers three different types of built-in storage – tabular, columnar, and graph. 8, 2015 7:25 am ET Text More businesses are trying to use data to try to predict the future, and. Apple provided no information other than its standard boilerplate message for confirming acquisitions. GraphLab, Now Dato, Picks Up 18.5M for Machine Learning Applications Deborah Gage Updated Jan.
This extension offers highly sophisticated visualizations of your models.Įven though GraphLab needs to be deployed and maintained on your own hardware, the platform comes with many performance enhancements that speed up training on big data sets. The startup formerly went by the names GraphLab and Dato. makes heavy use of GraphLabs SFrame object from Turi (formerly Dato and one. The platform has an intuitive UI along with an extension called the GraphLab Canvas. Analyzing a Large-Scale Healthcare Providers Data Set using GraphLab Create. You can also point GraphLab at multiple data sources in order to train data loads. Other provided tools include text analytics, a recommender, classification, regression, and clustering. An important feature of the platform is the Graph Analytics toolset, which can be run alongside the deep learning models.
It provides two deep nets, sophisticated data munging, an intuitive UI, and built-in enhancements for handling big data.ĭato GraphLab currently offers a vanilla MLP and a convolutional net.
Dato graphlab software#
Dato GraphLab is a good software platform for Deep Learning projects that require graph analytics and other important algorithms.
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