Abstract: A technology is described for automating deployment of a machine learning model. An example method may include receiving, via a graphical user interface, credentials for connecting to a data store containing a plurality of datasets and connecting to the data store using the credentials. A selection of a target metric to predict using the machine learning model can be received, via the graphical user interface, and datasets included in the plurality of datasets that correlate to the target metric can be identified by analyzing the datasets to identify an association between the target metric and data contained within the datasets. The datasets can be input to the machine learning model to train the machine learning model to generate predictions of the target metric, and the machine learning model can be deployed to computing resources in a service provider environment to generate predictions associated with the target metric.

Abstract: Apparatus and methods for modulating or damping surges of gaseous component (VOC) to a system for destroying the gaseous component are provided which include an accumulator located and adapted to hold gaseous component resulting from such a surge. The present system includes a valve which is positioned to facilitate passing the gaseous component resulting from the surge to the accumulator and, thereafter, to be repositioned to allow the gaseous component from the accumulator to be passed to the system for destroying the gaseous component.