Etiq AI - Data Science Copilot
Etiq 1.x Docs
Etiq 1.x Docs
  • Welcome to Etiq
  • Quickstart
  • Usage Plans
  • Key Concepts
    • Snapshot
    • Scan
    • Config
    • Custom Tests
  • Scan Types
    • Accuracy
    • Leakage
    • Drift
    • Bias
    • Data Issues
    • Data Fingerprinting
  • RCA
    • RCA Type Scans
    • Accuracy RCA Scan
    • Bias RCA Scan
    • Drift RCA Scan
  • Dashboard
    • Dashboard Components
    • Project Sharing
    • Data Synchronisation
  • Integrations
    • Airflow
    • Great Expectations
  • FAQ & Other
    • FAQ
    • API Documentation
    • Low Level API
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On this page
  • What can Etiq help you with?
  • What issue types do you cover?
  • How do you deploy Etiq?
  • How long will it take me to get Etiq up-to-speed?
  • What if I have extremely large data? Can Etiq support?
  • What if I want to code up my own metric to use in tests and for monitoring?
  • What if I want someone to tell me what tests and monitors to use?
  • How are you different from other testing/monitoring tools out there?
  • How can I integrate with orchestration tools?
  • Will my data leave my environment?
  • How much will Etiq cost me?
  • How do I submit an issue/comment/ask for help?
  • Install best practice
  • Licensing terms

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  1. FAQ & Other

FAQ

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Last updated 8 months ago

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What can Etiq help you with?

Test and monitor your data and AI pipelines. We cover tabular data and pretty much any modelling methodology. We actively maintain Etiq for the following libraries: XGBoost, LightGBM, PyTorch, TensorFlow, Keras and scikit-learn, however the tool can be used on pretty much any models from any libraries.

What issue types do you cover?

Data issues & leakage, performance and robustness related issues, different types of drift, bias and ethics; for more details pls. see our section.

How do you deploy Etiq?

Sign-up for the dashboard, pip install the Etiq library, import it in your python or spark based IDE and you are good to go! For a quick start guide please see

How long will it take me to get Etiq up-to-speed?

Some users report a time-to-value as low as 15 minutes. Because you can use Etiq as you would a library straight into any python or spark based IDE, you can use it straight away.

What if I have extremely large data? Can Etiq support?

Etiq has a spark version which can handle billion+ rows datasets comfortably.

What if I want to code up my own metric to use in tests and for monitoring?

What if I want someone to tell me what tests and monitors to use?

How are you different from other testing/monitoring tools out there?

Privacy first & lightweight - no data/models leave your environment and you can use Etiq straight from your IDE/on your laptop

How can I integrate with orchestration tools?

Will my data leave my environment?

If you are assessing to see if Etiq is fit for your purposes: if you'd prefer not to send your results data to the dashboard, don't link your testing to the dashboard and results data will only be stored locally on your laptop or cloud instance. You can use Etiq locally during your session via the IDE.

How much will Etiq cost me?

How do I submit an issue/comment/ask for help?

Install best practice

We advise that (for security reasons):

In environments where multiple users should have segmented access to different dataset, the etiq library should be installed in a different virtual environment for each individual user.

In environments where the breach of segmented access is deemed high, imported modules should be inspected for manipulation of the Etiq.ai framework.

Please always respect your organisation’s security policies and, in doubt, please contact the person in charge of security within your organisation.

Licensing terms

Sure, we have ample functionality for you to include

Ping us an email: . We have extensive templates for step-by-step testing for: time series, financial sector classification, recommender models and many others.

In depth testing - for any performance, drift or bias metrics (whether provided out-of-the-box or custom) we provide for you to understand which segments of you data are underperforming and why.

is an example of how to use Etiq + Airflow. You can use Etiq with any orchestration tools and also within environments such as Sagemaker, Databricks and pretty much any python or spark based environment.

Your datasets or models will never be stored in Etiq or go out of your environment. However, if you are using our SaaS instance, results data only and , will be stored on the SaaS instance.

When you decide to purchase Etiq, if you are on AWS you can do so with a one-click purchases from . Alternatively you can reach out for enterprise solutions.

Depends on the functionality you need, please see pricing or directly from .

Just email us:

Please see our licensing terms .

scan types
this link.
your own metric.
info@etiq.ai
in depth root cause analysis
Here
AWS Marketplace
here
AWS marketplace
info@etiq.ai
here
data profiles (if you choose to store them)