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@@ -7,7 +7,7 @@ through parametrized data access and meta-data version control.
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The basic premise is that a user-formed query is a full representation of the dataset used by the ML/DL process.
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ClearML Enterprise's hyperdatasets supports rapid prototyping, creating new opportunities such as:
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ClearML Enterprise's Hyper-Datasets supports rapid prototyping, creating new opportunities such as:
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* Hyperparameter optimization of the data itself
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* QA/QC pipelining
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* CD/CT (continuous training) during deployment
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@@ -28,7 +28,7 @@ These components interact in a way that enables revising data and tracking and a
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Frames are the basics units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version.
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Dataset versions can be created, modified, and removed. The different version are recorded and available,
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so experiments and their data are reproducible and traceable.
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so experiments, and their data are reproducible and traceable.
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Lastly, Dataviews manage views of the dataset with queries, so the input data to an experiment can be defined from a
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subset of a Dataset or combinations of Datasets.
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