Predicting numerical values to a very high accuracy

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  • napkinXC

    Extremely simple and fast extreme multi-class and multi-label classifiers.

  • If you only have 198 possible values then extreme multiclass models might benefit here with better precision and faster convergence. For example probabilistic label trees might have some relevance. Vowpal Wabbit also has specific reductions for extreme multi class problems. Might be worth a try if other alternatives still don't work out.

  • vowpal_wabbit

    Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  • If you only have 198 possible values then extreme multiclass models might benefit here with better precision and faster convergence. For example probabilistic label trees might have some relevance. Vowpal Wabbit also has specific reductions for extreme multi class problems. Might be worth a try if other alternatives still don't work out.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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