The invention discloses a heterogeneous environment prediction model training and deployment method and
system, and relates to the field of prediction model training. In order to overcome the defects that an existing model training and deployment method is large in development difficulty, low in deployment efficiency and lack of unified management of multiple versions, an integrated
development environment and an integrated development framework are used, and multiple pre-training models and operators are built in; carrying out data preprocessing and exclusive
model building, obtaining training data to carry out model training, and generating a training model; all training models are arranged in a model center for unified management; aPI
service development is carried out, a
unified model algorithm reasoning framework is adopted, self-defined
service development is carried out, and self-defined AI service is generated; the AI service is audited and published to be online, and the online AI service is used by an
external application; based on distributed task scheduling and service arrangement, AI services are scheduled and run on a service running platform. The method is mainly used for establishing the prediction model for the heterogeneous environment.