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Flek opens the door on a world of innovation in model learning, exploration and prediction.

Unique Features

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Flek offers a series of unique features specifically targeting modelling, exploration and prediction. Thanks to its self-adjusting universal probabilistic models users spend little time training or retraining their models as new unseen data comes in or the target variable changes when running predictions.

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At its core is the powerful Probability Machine and FlekML Engine that allow users to:

  • Auto-learn semi-supervised models that self adjust with new data, while needing little training and tuning.

  • Model complex events that do not fit any known probability distribution.

  • Auto-discover interesting rules, associations, influencers, anomalies, polymalies or causal relationships.

  • Find hidden probabilistic patterns by searching the full joint and conditional probability distributions of various variables.

  • Develop ML-driven applications that dynamically query and mine the learned probabilistic models.

  • Run both forward and backward prediction and classification activities without retraining or remodelling.

  • Perform a combination of both profile and item based recommendation tasks

  • Run machine learning in a database-like pipeline that serves models similar to the way models are built and shared in SQL databases today.

  • Perform Algorithmic Probability Programming (APP) - a new paradigm that enables users to work with probability at a higher level of abstraction.

  • Easily interpret and visualization the results of probabilistic reasoning and trace the rules used during inference.

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