AlgoML

01

Code
WorkBench​

  • End-to-end workbench for model construction (PySpark, R, SparkSQL)​
  • Native secure data access to model builders ​
  • Integrated model training, data health, and monitoring services​
  • Flexible deployment options, for use in operations (batch and inference)​
  • Binding directly to Algology for a myriad of solutions​
02

Machine
Learning Spawner

  • AUTO ML through a mix of general algorithms​
  • Champion/Challenge model selection of the best model for dataset​
  • API-driven connectivity to external model integration (CustomML)​
  • Fully Automatic and easily customisable model ensembling​
03

Model
Repository​

  • Central place to host and manage all models and artefacts ​
  • Register new versions, maintain a single view of all deployed versions​
  • Manage even models trained on 3rd party frameworks​

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