Running Setting up the Hyperdock system can seem a bit complicated but once it is up it quite easy to use.
Logs from the target image are periodically tailed from the workers to the WebUI. Once the target image has evaluated the parameters it simply writes the loss to file /hyperdock/loss.json with the option of storing important files to /hyperdock/out. The target image receives the parameters from the json file /hyperdock/params.json. They only need to be able to access the same Mongo database and the workers need to have access to any data required by the target image. The Hyperdock Supervisor, Workers and WebUI need not run on the same host. During this the Hyperdock Supervisor monitors the progress of the jobs and the status of the workers. The Hyperdock Workers dequeues jobs from the work queue and then evaluates the target image with these parameters. The Hyperdock Supervisor then reads the user-defined trial from the Mongo database and creates sets of parameter combination to be evaluated. From the Hyperdock WebUI the user can add trials that specify the target image and the hyperparameter space.
Philosophy The main idea of Hyperdock is universal hyperparameter optimization that can optimize a target written in any language or using any framework as long as it can be deployed in a Docker image. Hyperdock A simple framework for distributed hyperparameter optimization in Docker.
Hyperdock License File Download full#
You'll have to pay $9.95 for a full license, which seems a.
Hyperdock License File Download for mac#
HyperDock for Mac lets you take a quick look at the windows you have open in each program when you hover over icons in the Dock.
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