About
Build Test Suites for ML Models & Data with Deepchecks https://github.com/deepchecks/deepchecks Deepchecks is an open-source package for Machine Learning validation. Our Open Source is a python library for data scientists and ML engineers. The package includes extensive test suites for machine learning models and data, built in a way that’s flexible, extendable and editable. How Does It Work? Suites are composed of checks. Each check contains outputs to display in a notebook and/or conditions with a pass/fail output. - Conditions can be added or removed from a check; - Checks can be edited or added/removed to a suite; - Suites can be created from scratch or forked from an existing suite.
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18
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Frequently Asked Questions
What does Deepchecks do?
Build Test Suites for ML Models & Data with Deepchecks https://github.com/deepchecks/deepchecks Deepchecks is an open-source package for Machine Learning validation. Our Open Source is a python library for data scientists and ML engineers. The package includes extensive test suites for machine learning models and data, built in a way that’s flexible, extendable and editable. How Does It Work? Suites are composed of checks. Each check contains outputs to display in a notebook and/or conditions wi…
How much funding has Deepchecks raised?
Deepchecks has raised a total of $18M in funding. The most recent round on record is Seed.
When was Deepchecks founded?
Deepchecks was founded in 2019.
What industry does Deepchecks operate in?
Deepchecks operates in MLOps, Observability, Artificial Intelligence.
How many employees does Deepchecks have?
Deepchecks has approximately 18 people on record.