Global search: Users can now quickly find anything inside RapidMiner Studio, including processes, models, operators, and extensions.
Support for the MapR Converged Data Platform: RapidMiner Radoop and the MapR Converged Data Platform now work together to make big data accessible for data scientists who don’t want to code on Hadoop and Spark.In addition to Auto Model, RapidMiner 8.1 adds the following new capabilities to the RapidMiner Platform: Mierswa will be delivering an introductory webinar on Auto Model on Wednesday, February 21, 2018. RapidMiner Auto Model generates a RapidMiner Studio process behind the scenes, where data scientists can instantly visualize the end-to-end data prep and modeling steps, and selectively fine-tune and test models before putting them into production. Unlike existing automated machine learning approaches, Auto Model is not a “black box” that prevents data scientists from understanding how the model works.
Built-in visualizations and an interactive model simulator let data scientists quickly explore the model to see how it performs under a variety of conditions. Auto Model highlights which features have the greatest impact on the desired business objective, highlighting the most important influence factors and correlations. It automates predictive modeling by suggesting the best machine learning techniques and then generating optimized, cross-validated predictive models.
It speeds data prep by analyzing data to identify common quality problems. RapidMiner Auto Model accelerates the entire data science lifecycle using automated machine learning. Ingo Mierswa, Founder and President of RapidMiner.Īlso Read: Automated Machine Learning Leader Datarobot Acquires Data Science Firm Nutonian RapidMiner Auto Model accelerates the entire data science lifecycle using automated machine learning
As data scientists need to tune or tweak models, they have the full power of the RapidMiner Studio visual workflow designer at their disposal,” said Dr. We built Auto Model on top of RapidMiner Studio to improve the productivity of data scientists without hiding the ability to understand how and why a model works. That’s reckless and sometimes, even dangerous. They restricted my ability as a data scientist to understand how the models worked and tune them when necessary. When I looked closely at automated machine learning solutions, I found them to be black boxes. Today that changes with the release of RapidMiner Auto Model. “Automated machine learning promised data scientists a better, faster way to build models, but the reality never matched the hype. RapidMiner, the company that delivers real data science, fast and simple, announced the immediate availability of RapidMiner 8.1 and RapidMiner Auto Model, a new addition to RapidMiner Studio that accelerates everything data scientists do when building machine learning models.
Rapidminer Announces the Release of Auto Model and Rapidminer 8.1