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E-mail Notifications for Scripts
Feb2017
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Asynchcronous WhizzML script executions can take some time to finish to fulfill complex Machine Learning workflows they implement. You no longer need to check your execution repeatedly to see if your results are ready. This new option let's you specify that you want to be notified by e-mail once the execution finishes, while you concentrate on other tasks.

whizzml scripts executions notifications
Scriptify: Reify Complex Workflows
Feb2017
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Furthering our obsession to speed up your Machine Learning processes, we have incorporated Scriptify into your 1-click menu options. Now, you can automatically regenerate any BigML resource (models, evaluations, predictions, etc) with a single click. Scriptify creates a script that contains all the workflow information end-to-end (from configuration parameters to resources created). You can precisely repeat the processing steps of any original Machine Learning resource to your heart's desire!

whizzml worklows automation resources 1-click actions
Sublime Text Package
Jul2016
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Ease your WhizzML coding with syntax highlighting and auto-completion using the Sublime Text package. If you are a WhizzMLer and a Sublime Text fan, you will love this new package. Install it via Package Control.

whizzml source code scripts libraries sublime text
WhizzML: Automating Machine Learning
May2016
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BigML is proud to announce WhizzML, a new domain-specific language for automating Machine Learning workflows and implementing high-level algorithms.

WhizzML abstracts away the complexity of the underlying infrastructure and offers out-of-the-box scalability. With WhizzML you can easily transform time-consuming repetitive tasks into 1-click actions or into a single API call. WhizzML provides a standardized way to implement high-level Machine Learning algorithms on your own, e.g. Gradient Boosting or Stacked Generalization.

You can also clone many advanced workflows and algorithms from WhizzML Gallery and share yours with others!

api dashboard scripts libraries executions automation workflows algorithms whizzml spring2016
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