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2022-09-22 09:42:44 +03:00
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docs/hyperdatasets/overview.md
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@@ -3,7 +3,7 @@ title: Hyper-Datasets
---
ClearML's Hyper-Datasets are an MLOps-oriented abstraction of your data, which facilitates traceable, reproducible model development
through parametrized data access and meta-data version control.
through parameterized data access and meta-data version control.
The basic premise is that a user-formed query is a full representation of the dataset used by the ML/DL process.
@@ -24,9 +24,9 @@ A Hyper-Dataset is composed of the following components:
* [Datasets and Dataset Versions](dataset.md)
* [Dataviews](dataviews.md)
These components interact in a way that enables revising data and tracking and accessing all of its version.
These components interact in a way that enables revising data and tracking and accessing all of its versions.
Frames are the basics units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version.
Frames are the basic units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version.
Dataset versions can be created, modified, and removed. The different version are recorded and available,
so experiments, and their data are reproducible and traceable.