GraphLab Create™ v1.0 Now Generally Available by Johnnie Konstantas.
From the post:
It is with tremendous pride in this amazing team that I am posting on the general availability of version 1.0, our flagship product. This work represents a bar being set on usability, breadth of features and productivity possible with a machine learning platform.
What’s next you ask? It’s easy to talk about all of our great plans for scale and administration but I want to give this watershed moment it’s due. Have a look at what’s new.
New features available in the GraphLab Create platform include:
- Predictive Services – Companies can build predictive applications quickly, easily, and at scale. Predictive service deployments are scalable, fault-tolerant, and high performing, enabling easy integration with front-end applications. Trained models can be deployed on Amazon Elastic Compute Cloud (EC2) and monitored through Amazon CloudWatch. They can be queried in real-time via a RESTful API and the entire deployment pipeline is seen through a visual dashboard. The time from prototyping to production is dramatically reduced for GraphLab Create users.
- Deep Learning – These models are ideal for automatic learning of salient features, without human supervision, from data such as images. Combined with GraphLab Create image analysis tools, the Deep Learning package enables accurate and in-depth understanding of images and videos. The GraphLab Create image analysis package makes quick work of importing and preprocessing millions of images as well as numeric data. It is built on the latest architectures including Convolution Layer, Max, Sum, Average Pooling and Dropout. The available API allows for extensibility in building user custom neural networks. Applications include image classification, object detection and image similarity.
- Boosted Trees – With this feature, GraphLab adds support for this popular class of algorithms for robust and accurate regression and classification tasks. With an out-of-core implementation, Boosted Trees in GraphLab Create can easily scale up to large datasets that do not fit into memory.
- Visualization – New dashboards allow users to visualize the status and health of offline jobs deployed in various environments including local, Hadoop Clusters and EC2. Also part of GraphLab Canvas is the visualization of GraphLab SFrames and SGraphs, enabling users to explore tables, graphs, text and images, in a single interactive environment making feature engineering more efficient.
…(and more)
Rather than downloading the software, go to GraphLab Create™ Quick Start to generate a product key. After you generate a product key (displayed on webpage), GraphLab offers command line code to set you up for installing GraphLab via pip. Quick and easy on Ubuntu 12.04.
Next stop: The Five-Line Recommender, Explained by Alice Zheng. 😉
Enjoy!