Visual Machine Learning and Modeling

Dataiku makes it easy to leverage machine learning technologies and get instant visual and statistical feedback on model performance.

Visual Machine Learning and Modeling

Automated machine learning

  •  Automatic feature engineering, generation, and selection to use any kind of data in your models.
  •  Optimize your model hyperparameters using various cross validation strategies.
  •  Compare dozens of algorithms from Dataiku interface, both for supervised and unsupervised tasks.
  •  Get instant visual insights from your model (variables importance, features interactions or parameters), and assess model’s performance through detailed metrics.
Automated machine learning

Deep learning at your fingertips

  •  Define your model architecture and personalize training settings.
  •  Support for Keras, Tensorflow backend, integrate with Tensorboard, and scale model training using GPU.
  •  Automatically handle images, including features extraction.
  •  Use pretrained models right from Dataiku interface
Deep learning at your fingertips

Use visual UI or code to leverage the latest ML technologies

  •  The visual machine learning in Dataiku leverages state-of-the-art machine learning libraries: Scikit-Learn, MLlib, XGboost.
  •  Create, train and deploy advanced custom ML models using Python or R.
  •  Integrate any external machine learning library accessible through code APIs.
Use visual UI or code to leverage the latest ML technologies

Fully production ready

As soon as your model is built and assessed, instantly:

  • Use it for batch scoring within your data workflow.
  • Deploy it as a real-time prediction service (REST API).
  • Manage your model lifecycle: deploy new versions, retrain previous versions and rollback to any secure version in just one click.
  • Control your model’s performance over time with a feedback loop.
Fully production ready

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or compare the features of the Lite, Team, and Enterprise editions.

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