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Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type Model ¶
type Model interface {
// Advance does calculation with local parts of samples and communicates with other nodes in cluster to predict outcomes
// payload could be resolved by Model trained out by specific algorithm and samples
// We'd better call the method asynchronously avoid blocking the main go-routine
Advance(payload []byte) (*pb.PredictResponse, error)
}
Model was trained out by a Learner, and participates in the multi-parts-calculation during prediction process If input different parts of a sample into Models on different mpc-nodes, you'll get final predicting result after some time of multi-parts-calculation
func NewModel ¶
func NewModel(id string, address string, algo pbCom.Algorithm, params *pbCom.TrainModels, samplesFile []byte, parties []string, paddleFLParams *pbCom.PaddleFLParams, rpc RpcHandler, rh ResultHandler) (Model, error)
NewModel returns a Model id is the assigned id for Model samplesFile is sample file content for prediction address indicates local mpc-node algo is the algorithm of model parties are other models who participates in MPC, assigned with mpc-node address usually rpc is used to request remote mpc-node rh handles final result which is successful or failed params are parameters for model
type ResultHandler ¶
type ResultHandler interface {
SaveResult(*pbCom.PredictTaskResult)
}
ResultHandler handles final result which is successful or failed Should be called when prediction finished
type RpcHandler ¶
type RpcHandler interface {
StepPredict(req *pb.PredictRequest, peerName string) (*pb.PredictResponse, error)
// StepPredictWithRetry sends prediction message to remote mpc-node
// retries 2 times at most
// inteSec indicates the interval between retry requests, in seconds
StepPredictWithRetry(req *pb.PredictRequest, peerName string, times int, inteSec int64) (*pb.PredictResponse, error)
}
RpcHandler used to request remote mpc-node
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