• Adaptive

    Capture and model knowledge within a data stream using a probabilistic network.

  • Auto Parameter Tuning

    Monitor a data stream continuously to capture meta-information that is stored in an online repository, and used to fine-tune the prediction system.

  • Proactive

    Proactively detect and smoonthly adapt to changes within the data stream.

  • Real-time

    Interpret and learn at real time with C++ backend.

  • Ease of Use

    Easily integrate and extend with Python frontend.

  • Transfer Learning

    Both instance and model transfer learning techninques at your service.

  • Cost-Effective Transfer

    Estimate model adaptaility of the transferred model in the target stream for cost-effective transfer learning.

  • Papers

    Check out our peer-reviewed papers that empowers scikit-ika.

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