e5bf30c494
TypeScript 5.9 erasableSyntaxOnly rejects enum declarations in .ts files (they emit runtime code). Switch protoc-gen-es from target=ts to target=js+dts which generates .js runtime + .d.ts type declarations. Also fix type mismatches in useApi.ts (OrderSide/OrderType enum types, StartBacktestRequest field mapping) and MLDashboard signal defaulting. Add web-dashboard network policy for MinIO egress + proxy ingress. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1556 lines
35 KiB
TypeScript
1556 lines
35 KiB
TypeScript
// @generated by protoc-gen-es v2.11.0 with parameter "target=js+dts"
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// @generated from file ml.proto (package ml, syntax proto3)
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/* eslint-disable */
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import type { GenEnum, GenFile, GenMessage, GenService } from "@bufbuild/protobuf/codegenv2";
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import type { Message } from "@bufbuild/protobuf";
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/**
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* Describes the file ml.proto.
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*/
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export declare const file_ml: GenFile;
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/**
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* @generated from message ml.StreamModelStatusRequest
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*/
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export declare type StreamModelStatusRequest = Message<"ml.StreamModelStatusRequest"> & {
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/**
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* empty = all models
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*
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* 0 = server default (5s)
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*
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* @generated from field: uint32 interval_seconds = 2;
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*/
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intervalSeconds: number;
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};
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/**
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* Describes the message ml.StreamModelStatusRequest.
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* Use `create(StreamModelStatusRequestSchema)` to create a new message.
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*/
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export declare const StreamModelStatusRequestSchema: GenMessage<StreamModelStatusRequest>;
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/**
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* Request for model prediction
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*
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* @generated from message ml.GetPredictionRequest
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*/
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export declare type GetPredictionRequest = Message<"ml.GetPredictionRequest"> & {
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/**
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* Model to use (e.g., "mamba2", "tlob-transformer")
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*
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* Trading symbol to predict
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*
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* @generated from field: string symbol = 2;
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*/
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symbol: string;
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/**
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* Prediction horizon in minutes
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*
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* @generated from field: optional int32 horizon_minutes = 3;
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*/
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horizonMinutes?: number;
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/**
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* Input features for prediction
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*
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* @generated from field: map<string, double> features = 4;
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*/
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features: { [key: string]: number };
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};
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/**
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* Describes the message ml.GetPredictionRequest.
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* Use `create(GetPredictionRequestSchema)` to create a new message.
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*/
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export declare const GetPredictionRequestSchema: GenMessage<GetPredictionRequest>;
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/**
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* Response containing model prediction
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*
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* @generated from message ml.GetPredictionResponse
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*/
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export declare type GetPredictionResponse = Message<"ml.GetPredictionResponse"> & {
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/**
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* Model prediction with details
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*
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* @generated from field: ml.Prediction prediction = 1;
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*/
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prediction?: Prediction;
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/**
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* Prediction confidence (0.0 to 1.0)
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*
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* @generated from field: double confidence = 2;
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*/
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confidence: number;
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/**
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* Prediction timestamp (nanoseconds)
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*
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* @generated from field: int64 timestamp = 3;
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*/
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timestamp: bigint;
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};
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/**
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* Describes the message ml.GetPredictionResponse.
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* Use `create(GetPredictionResponseSchema)` to create a new message.
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*/
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export declare const GetPredictionResponseSchema: GenMessage<GetPredictionResponse>;
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/**
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* @generated from message ml.StreamPredictionsRequest
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*/
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export declare type StreamPredictionsRequest = Message<"ml.StreamPredictionsRequest"> & {
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/**
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* @generated from field: repeated string model_names = 1;
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*/
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modelNames: string[];
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/**
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* @generated from field: repeated string symbols = 2;
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*/
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symbols: string[];
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/**
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* @generated from field: optional int32 update_frequency_seconds = 3;
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*/
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updateFrequencySeconds?: number;
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};
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/**
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* Describes the message ml.StreamPredictionsRequest.
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* Use `create(StreamPredictionsRequestSchema)` to create a new message.
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*/
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export declare const StreamPredictionsRequestSchema: GenMessage<StreamPredictionsRequest>;
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/**
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* @generated from message ml.GetEnsembleVoteRequest
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*/
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export declare type GetEnsembleVoteRequest = Message<"ml.GetEnsembleVoteRequest"> & {
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/**
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* @generated from field: string symbol = 1;
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*/
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symbol: string;
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/**
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* @generated from field: optional int32 horizon_minutes = 2;
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*/
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horizonMinutes?: number;
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/**
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* @generated from field: repeated string model_names = 3;
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*/
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modelNames: string[];
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};
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/**
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* Describes the message ml.GetEnsembleVoteRequest.
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* Use `create(GetEnsembleVoteRequestSchema)` to create a new message.
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*/
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export declare const GetEnsembleVoteRequestSchema: GenMessage<GetEnsembleVoteRequest>;
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/**
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* @generated from message ml.GetEnsembleVoteResponse
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*/
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export declare type GetEnsembleVoteResponse = Message<"ml.GetEnsembleVoteResponse"> & {
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/**
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* @generated from field: ml.EnsembleVote ensemble_vote = 1;
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*/
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ensembleVote?: EnsembleVote;
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/**
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* @generated from field: repeated ml.ModelVote individual_votes = 2;
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*/
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individualVotes: ModelVote[];
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/**
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* @generated from field: double overall_confidence = 3;
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*/
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overallConfidence: number;
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/**
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* @generated from field: int64 timestamp = 4;
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*/
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timestamp: bigint;
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};
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/**
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* Describes the message ml.GetEnsembleVoteResponse.
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* Use `create(GetEnsembleVoteResponseSchema)` to create a new message.
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*/
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export declare const GetEnsembleVoteResponseSchema: GenMessage<GetEnsembleVoteResponse>;
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/**
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* Model Management Messages
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*
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* @generated from message ml.GetModelStatusRequest
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*/
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export declare type GetModelStatusRequest = Message<"ml.GetModelStatusRequest"> & {
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/**
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* @generated from field: optional string model_name = 1;
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*/
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modelName?: string;
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};
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/**
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* Describes the message ml.GetModelStatusRequest.
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* Use `create(GetModelStatusRequestSchema)` to create a new message.
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*/
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export declare const GetModelStatusRequestSchema: GenMessage<GetModelStatusRequest>;
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/**
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* @generated from message ml.GetModelStatusResponse
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*/
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export declare type GetModelStatusResponse = Message<"ml.GetModelStatusResponse"> & {
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/**
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* @generated from field: repeated ml.ModelStatus model_statuses = 1;
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*/
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modelStatuses: ModelStatus[];
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};
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/**
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* Describes the message ml.GetModelStatusResponse.
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* Use `create(GetModelStatusResponseSchema)` to create a new message.
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*/
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export declare const GetModelStatusResponseSchema: GenMessage<GetModelStatusResponse>;
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/**
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* @generated from message ml.GetAvailableModelsRequest
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*/
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export declare type GetAvailableModelsRequest = Message<"ml.GetAvailableModelsRequest"> & {
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};
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/**
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* Describes the message ml.GetAvailableModelsRequest.
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* Use `create(GetAvailableModelsRequestSchema)` to create a new message.
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*/
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export declare const GetAvailableModelsRequestSchema: GenMessage<GetAvailableModelsRequest>;
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/**
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* @generated from message ml.GetAvailableModelsResponse
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*/
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export declare type GetAvailableModelsResponse = Message<"ml.GetAvailableModelsResponse"> & {
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/**
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* @generated from field: repeated ml.ModelInfo available_models = 1;
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*/
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availableModels: ModelInfo[];
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};
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/**
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* Describes the message ml.GetAvailableModelsResponse.
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* Use `create(GetAvailableModelsResponseSchema)` to create a new message.
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*/
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export declare const GetAvailableModelsResponseSchema: GenMessage<GetAvailableModelsResponse>;
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/**
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* @generated from message ml.RetrainModelRequest
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*/
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export declare type RetrainModelRequest = Message<"ml.RetrainModelRequest"> & {
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/**
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* @generated from field: optional int64 start_time = 2;
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*/
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startTime?: bigint;
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/**
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* @generated from field: optional int64 end_time = 3;
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*/
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endTime?: bigint;
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/**
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* @generated from field: map<string, string> parameters = 4;
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*/
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parameters: { [key: string]: string };
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};
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/**
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* Describes the message ml.RetrainModelRequest.
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* Use `create(RetrainModelRequestSchema)` to create a new message.
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*/
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export declare const RetrainModelRequestSchema: GenMessage<RetrainModelRequest>;
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/**
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* @generated from message ml.RetrainModelResponse
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*/
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export declare type RetrainModelResponse = Message<"ml.RetrainModelResponse"> & {
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/**
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* @generated from field: bool success = 1;
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*/
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success: boolean;
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/**
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* @generated from field: string message = 2;
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*/
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message: string;
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/**
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* @generated from field: optional string job_id = 3;
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*/
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jobId?: string;
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/**
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* @generated from field: int64 started_at = 4;
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*/
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startedAt: bigint;
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};
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/**
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* Describes the message ml.RetrainModelResponse.
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* Use `create(RetrainModelResponseSchema)` to create a new message.
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*/
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export declare const RetrainModelResponseSchema: GenMessage<RetrainModelResponse>;
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/**
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* Performance Messages
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*
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* @generated from message ml.GetModelPerformanceRequest
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*/
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export declare type GetModelPerformanceRequest = Message<"ml.GetModelPerformanceRequest"> & {
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/**
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* @generated from field: optional int64 start_time = 2;
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*/
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startTime?: bigint;
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/**
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* @generated from field: optional int64 end_time = 3;
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*/
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endTime?: bigint;
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};
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/**
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* Describes the message ml.GetModelPerformanceRequest.
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* Use `create(GetModelPerformanceRequestSchema)` to create a new message.
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*/
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export declare const GetModelPerformanceRequestSchema: GenMessage<GetModelPerformanceRequest>;
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/**
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* @generated from message ml.GetModelPerformanceResponse
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*/
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export declare type GetModelPerformanceResponse = Message<"ml.GetModelPerformanceResponse"> & {
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/**
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* @generated from field: ml.ModelPerformance performance = 1;
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*/
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performance?: ModelPerformance;
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};
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/**
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* Describes the message ml.GetModelPerformanceResponse.
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* Use `create(GetModelPerformanceResponseSchema)` to create a new message.
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*/
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export declare const GetModelPerformanceResponseSchema: GenMessage<GetModelPerformanceResponse>;
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/**
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* @generated from message ml.StreamModelMetricsRequest
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*/
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export declare type StreamModelMetricsRequest = Message<"ml.StreamModelMetricsRequest"> & {
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/**
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* @generated from field: repeated string model_names = 1;
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*/
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modelNames: string[];
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/**
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* @generated from field: optional int32 update_frequency_seconds = 2;
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*/
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updateFrequencySeconds?: number;
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};
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/**
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* Describes the message ml.StreamModelMetricsRequest.
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* Use `create(StreamModelMetricsRequestSchema)` to create a new message.
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*/
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export declare const StreamModelMetricsRequestSchema: GenMessage<StreamModelMetricsRequest>;
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/**
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* Feature Analysis Messages
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*
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* @generated from message ml.GetFeatureImportanceRequest
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*/
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export declare type GetFeatureImportanceRequest = Message<"ml.GetFeatureImportanceRequest"> & {
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/**
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* @generated from field: optional string symbol = 2;
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*/
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symbol?: string;
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};
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/**
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* Describes the message ml.GetFeatureImportanceRequest.
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* Use `create(GetFeatureImportanceRequestSchema)` to create a new message.
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*/
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export declare const GetFeatureImportanceRequestSchema: GenMessage<GetFeatureImportanceRequest>;
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/**
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* @generated from message ml.GetFeatureImportanceResponse
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*/
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export declare type GetFeatureImportanceResponse = Message<"ml.GetFeatureImportanceResponse"> & {
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/**
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* @generated from field: repeated ml.FeatureImportance feature_importances = 1;
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*/
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featureImportances: FeatureImportance[];
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/**
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* @generated from field: string model_name = 2;
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*/
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modelName: string;
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/**
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* @generated from field: int64 calculated_at = 3;
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*/
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calculatedAt: bigint;
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};
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/**
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* Describes the message ml.GetFeatureImportanceResponse.
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* Use `create(GetFeatureImportanceResponseSchema)` to create a new message.
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*/
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export declare const GetFeatureImportanceResponseSchema: GenMessage<GetFeatureImportanceResponse>;
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/**
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* @generated from message ml.StreamSignalStrengthRequest
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*/
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export declare type StreamSignalStrengthRequest = Message<"ml.StreamSignalStrengthRequest"> & {
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/**
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* @generated from field: repeated string symbols = 1;
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*/
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symbols: string[];
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/**
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* @generated from field: optional int32 update_frequency_seconds = 2;
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*/
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updateFrequencySeconds?: number;
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};
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/**
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* Describes the message ml.StreamSignalStrengthRequest.
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* Use `create(StreamSignalStrengthRequestSchema)` to create a new message.
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*/
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export declare const StreamSignalStrengthRequestSchema: GenMessage<StreamSignalStrengthRequest>;
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/**
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* Complete prediction information from a model
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*
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* @generated from message ml.Prediction
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*/
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export declare type Prediction = Message<"ml.Prediction"> & {
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/**
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* Model that generated prediction
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*
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* @generated from field: string model_name = 1;
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*/
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modelName: string;
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/**
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* Trading symbol
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*
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* @generated from field: string symbol = 2;
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*/
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symbol: string;
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/**
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* Type of prediction (buy/sell/hold/price direction)
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*
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* @generated from field: ml.PredictionType prediction_type = 3;
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*/
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predictionType: PredictionType;
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/**
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* Predicted value (price change, probability, etc.)
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*
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* @generated from field: double value = 4;
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*/
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value: number;
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/**
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* Model confidence in prediction (0.0 to 1.0)
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*
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* @generated from field: double confidence = 5;
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*/
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confidence: number;
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/**
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* Prediction time horizon
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*
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* @generated from field: int32 horizon_minutes = 6;
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*/
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horizonMinutes: number;
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/**
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* Input features used for prediction
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*
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* @generated from field: repeated ml.Feature features = 7;
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*/
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features: Feature[];
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/**
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* Prediction generation timestamp (nanoseconds)
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*
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* @generated from field: int64 timestamp = 8;
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*/
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timestamp: bigint;
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};
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/**
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* Describes the message ml.Prediction.
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* Use `create(PredictionSchema)` to create a new message.
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*/
|
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export declare const PredictionSchema: GenMessage<Prediction>;
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/**
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* @generated from message ml.EnsembleVote
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*/
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export declare type EnsembleVote = Message<"ml.EnsembleVote"> & {
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/**
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* @generated from field: string symbol = 1;
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*/
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symbol: string;
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|
|
|
/**
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* @generated from field: ml.PredictionType consensus_prediction = 2;
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*/
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consensusPrediction: PredictionType;
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/**
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* @generated from field: double consensus_confidence = 3;
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*/
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consensusConfidence: number;
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|
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|
/**
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|
* @generated from field: int32 votes_buy = 4;
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*/
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votesBuy: number;
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|
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/**
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* @generated from field: int32 votes_sell = 5;
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*/
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votesSell: number;
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/**
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* @generated from field: int32 votes_hold = 6;
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*/
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votesHold: number;
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/**
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* @generated from field: int32 total_models = 7;
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*/
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totalModels: number;
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/**
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* @generated from field: ml.SignalStrength signal_strength = 8;
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*/
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signalStrength: SignalStrength;
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};
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/**
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* Describes the message ml.EnsembleVote.
|
|
* Use `create(EnsembleVoteSchema)` to create a new message.
|
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*/
|
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export declare const EnsembleVoteSchema: GenMessage<EnsembleVote>;
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/**
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* @generated from message ml.ModelVote
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*/
|
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export declare type ModelVote = Message<"ml.ModelVote"> & {
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/**
|
|
* @generated from field: string model_name = 1;
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*/
|
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modelName: string;
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|
|
|
/**
|
|
* @generated from field: ml.PredictionType prediction = 2;
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*/
|
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prediction: PredictionType;
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/**
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* @generated from field: double confidence = 3;
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*/
|
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confidence: number;
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|
|
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/**
|
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* @generated from field: double weight = 4;
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*/
|
|
weight: number;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelVote.
|
|
* Use `create(ModelVoteSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelVoteSchema: GenMessage<ModelVote>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelStatus
|
|
*/
|
|
export declare type ModelStatus = Message<"ml.ModelStatus"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: ml.ModelState state = 2;
|
|
*/
|
|
state: ModelState;
|
|
|
|
/**
|
|
* @generated from field: optional string error_message = 3;
|
|
*/
|
|
errorMessage?: string;
|
|
|
|
/**
|
|
* @generated from field: int64 last_updated = 4;
|
|
*/
|
|
lastUpdated: bigint;
|
|
|
|
/**
|
|
* @generated from field: int64 last_prediction = 5;
|
|
*/
|
|
lastPrediction: bigint;
|
|
|
|
/**
|
|
* @generated from field: ml.ModelHealth health = 6;
|
|
*/
|
|
health: ModelHealth;
|
|
|
|
/**
|
|
* @generated from field: map<string, string> metadata = 7;
|
|
*/
|
|
metadata: { [key: string]: string };
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelStatus.
|
|
* Use `create(ModelStatusSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelStatusSchema: GenMessage<ModelStatus>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelInfo
|
|
*/
|
|
export declare type ModelInfo = Message<"ml.ModelInfo"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: string model_type = 2;
|
|
*/
|
|
modelType: string;
|
|
|
|
/**
|
|
* @generated from field: string description = 3;
|
|
*/
|
|
description: string;
|
|
|
|
/**
|
|
* @generated from field: repeated string supported_symbols = 4;
|
|
*/
|
|
supportedSymbols: string[];
|
|
|
|
/**
|
|
* @generated from field: repeated int32 supported_horizons = 5;
|
|
*/
|
|
supportedHorizons: number[];
|
|
|
|
/**
|
|
* @generated from field: ml.ModelCapabilities capabilities = 6;
|
|
*/
|
|
capabilities?: ModelCapabilities;
|
|
|
|
/**
|
|
* @generated from field: map<string, string> parameters = 7;
|
|
*/
|
|
parameters: { [key: string]: string };
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelInfo.
|
|
* Use `create(ModelInfoSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelInfoSchema: GenMessage<ModelInfo>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelPerformance
|
|
*/
|
|
export declare type ModelPerformance = Message<"ml.ModelPerformance"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: double accuracy = 2;
|
|
*/
|
|
accuracy: number;
|
|
|
|
/**
|
|
* @generated from field: double precision = 3;
|
|
*/
|
|
precision: number;
|
|
|
|
/**
|
|
* @generated from field: double recall = 4;
|
|
*/
|
|
recall: number;
|
|
|
|
/**
|
|
* @generated from field: double f1_score = 5;
|
|
*/
|
|
f1Score: number;
|
|
|
|
/**
|
|
* @generated from field: double sharpe_ratio = 6;
|
|
*/
|
|
sharpeRatio: number;
|
|
|
|
/**
|
|
* @generated from field: double win_rate = 7;
|
|
*/
|
|
winRate: number;
|
|
|
|
/**
|
|
* @generated from field: double avg_return = 8;
|
|
*/
|
|
avgReturn: number;
|
|
|
|
/**
|
|
* @generated from field: double max_drawdown = 9;
|
|
*/
|
|
maxDrawdown: number;
|
|
|
|
/**
|
|
* @generated from field: int32 total_predictions = 10;
|
|
*/
|
|
totalPredictions: number;
|
|
|
|
/**
|
|
* @generated from field: int64 performance_period_start = 11;
|
|
*/
|
|
performancePeriodStart: bigint;
|
|
|
|
/**
|
|
* @generated from field: int64 performance_period_end = 12;
|
|
*/
|
|
performancePeriodEnd: bigint;
|
|
|
|
/**
|
|
* @generated from field: repeated ml.DailyPerformance daily_performance = 13;
|
|
*/
|
|
dailyPerformance: DailyPerformance[];
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelPerformance.
|
|
* Use `create(ModelPerformanceSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelPerformanceSchema: GenMessage<ModelPerformance>;
|
|
|
|
/**
|
|
* @generated from message ml.DailyPerformance
|
|
*/
|
|
export declare type DailyPerformance = Message<"ml.DailyPerformance"> & {
|
|
/**
|
|
* @generated from field: string date = 1;
|
|
*/
|
|
date: string;
|
|
|
|
/**
|
|
* @generated from field: double accuracy = 2;
|
|
*/
|
|
accuracy: number;
|
|
|
|
/**
|
|
* @generated from field: double return_pct = 3;
|
|
*/
|
|
returnPct: number;
|
|
|
|
/**
|
|
* @generated from field: int32 predictions_count = 4;
|
|
*/
|
|
predictionsCount: number;
|
|
|
|
/**
|
|
* @generated from field: double sharpe_ratio = 5;
|
|
*/
|
|
sharpeRatio: number;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.DailyPerformance.
|
|
* Use `create(DailyPerformanceSchema)` to create a new message.
|
|
*/
|
|
export declare const DailyPerformanceSchema: GenMessage<DailyPerformance>;
|
|
|
|
/**
|
|
* @generated from message ml.FeatureImportance
|
|
*/
|
|
export declare type FeatureImportance = Message<"ml.FeatureImportance"> & {
|
|
/**
|
|
* @generated from field: string feature_name = 1;
|
|
*/
|
|
featureName: string;
|
|
|
|
/**
|
|
* @generated from field: double importance_score = 2;
|
|
*/
|
|
importanceScore: number;
|
|
|
|
/**
|
|
* @generated from field: ml.FeatureType feature_type = 3;
|
|
*/
|
|
featureType: FeatureType;
|
|
|
|
/**
|
|
* @generated from field: double contribution_pct = 4;
|
|
*/
|
|
contributionPct: number;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.FeatureImportance.
|
|
* Use `create(FeatureImportanceSchema)` to create a new message.
|
|
*/
|
|
export declare const FeatureImportanceSchema: GenMessage<FeatureImportance>;
|
|
|
|
/**
|
|
* @generated from message ml.Feature
|
|
*/
|
|
export declare type Feature = Message<"ml.Feature"> & {
|
|
/**
|
|
* @generated from field: string name = 1;
|
|
*/
|
|
name: string;
|
|
|
|
/**
|
|
* @generated from field: double value = 2;
|
|
*/
|
|
value: number;
|
|
|
|
/**
|
|
* @generated from field: ml.FeatureType feature_type = 3;
|
|
*/
|
|
featureType: FeatureType;
|
|
|
|
/**
|
|
* @generated from field: double normalized_value = 4;
|
|
*/
|
|
normalizedValue: number;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.Feature.
|
|
* Use `create(FeatureSchema)` to create a new message.
|
|
*/
|
|
export declare const FeatureSchema: GenMessage<Feature>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelCapabilities
|
|
*/
|
|
export declare type ModelCapabilities = Message<"ml.ModelCapabilities"> & {
|
|
/**
|
|
* @generated from field: bool supports_streaming = 1;
|
|
*/
|
|
supportsStreaming: boolean;
|
|
|
|
/**
|
|
* @generated from field: bool supports_retraining = 2;
|
|
*/
|
|
supportsRetraining: boolean;
|
|
|
|
/**
|
|
* @generated from field: bool supports_feature_importance = 3;
|
|
*/
|
|
supportsFeatureImportance: boolean;
|
|
|
|
/**
|
|
* @generated from field: bool supports_confidence_intervals = 4;
|
|
*/
|
|
supportsConfidenceIntervals: boolean;
|
|
|
|
/**
|
|
* @generated from field: repeated string supported_asset_classes = 5;
|
|
*/
|
|
supportedAssetClasses: string[];
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelCapabilities.
|
|
* Use `create(ModelCapabilitiesSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelCapabilitiesSchema: GenMessage<ModelCapabilities>;
|
|
|
|
/**
|
|
* Event Messages
|
|
*
|
|
* @generated from message ml.PredictionEvent
|
|
*/
|
|
export declare type PredictionEvent = Message<"ml.PredictionEvent"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: string symbol = 2;
|
|
*/
|
|
symbol: string;
|
|
|
|
/**
|
|
* @generated from field: ml.Prediction prediction = 3;
|
|
*/
|
|
prediction?: Prediction;
|
|
|
|
/**
|
|
* @generated from field: ml.PredictionEventType event_type = 4;
|
|
*/
|
|
eventType: PredictionEventType;
|
|
|
|
/**
|
|
* @generated from field: int64 timestamp = 5;
|
|
*/
|
|
timestamp: bigint;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.PredictionEvent.
|
|
* Use `create(PredictionEventSchema)` to create a new message.
|
|
*/
|
|
export declare const PredictionEventSchema: GenMessage<PredictionEvent>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelMetricsEvent
|
|
*/
|
|
export declare type ModelMetricsEvent = Message<"ml.ModelMetricsEvent"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: ml.ModelMetrics metrics = 2;
|
|
*/
|
|
metrics?: ModelMetrics;
|
|
|
|
/**
|
|
* @generated from field: int64 timestamp = 3;
|
|
*/
|
|
timestamp: bigint;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelMetricsEvent.
|
|
* Use `create(ModelMetricsEventSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelMetricsEventSchema: GenMessage<ModelMetricsEvent>;
|
|
|
|
/**
|
|
* @generated from message ml.SignalStrengthEvent
|
|
*/
|
|
export declare type SignalStrengthEvent = Message<"ml.SignalStrengthEvent"> & {
|
|
/**
|
|
* @generated from field: string symbol = 1;
|
|
*/
|
|
symbol: string;
|
|
|
|
/**
|
|
* @generated from field: ml.SignalStrength signal_strength = 2;
|
|
*/
|
|
signalStrength: SignalStrength;
|
|
|
|
/**
|
|
* @generated from field: repeated ml.ModelSignal model_signals = 3;
|
|
*/
|
|
modelSignals: ModelSignal[];
|
|
|
|
/**
|
|
* @generated from field: int64 timestamp = 4;
|
|
*/
|
|
timestamp: bigint;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.SignalStrengthEvent.
|
|
* Use `create(SignalStrengthEventSchema)` to create a new message.
|
|
*/
|
|
export declare const SignalStrengthEventSchema: GenMessage<SignalStrengthEvent>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelMetrics
|
|
*/
|
|
export declare type ModelMetrics = Message<"ml.ModelMetrics"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: double cpu_usage = 2;
|
|
*/
|
|
cpuUsage: number;
|
|
|
|
/**
|
|
* @generated from field: double memory_usage_mb = 3;
|
|
*/
|
|
memoryUsageMb: number;
|
|
|
|
/**
|
|
* @generated from field: double gpu_usage = 4;
|
|
*/
|
|
gpuUsage: number;
|
|
|
|
/**
|
|
* @generated from field: double predictions_per_second = 5;
|
|
*/
|
|
predictionsPerSecond: number;
|
|
|
|
/**
|
|
* @generated from field: double avg_inference_time_ms = 6;
|
|
*/
|
|
avgInferenceTimeMs: number;
|
|
|
|
/**
|
|
* @generated from field: int32 queue_size = 7;
|
|
*/
|
|
queueSize: number;
|
|
|
|
/**
|
|
* @generated from field: ml.ModelHealth health = 8;
|
|
*/
|
|
health: ModelHealth;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelMetrics.
|
|
* Use `create(ModelMetricsSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelMetricsSchema: GenMessage<ModelMetrics>;
|
|
|
|
/**
|
|
* @generated from message ml.ModelSignal
|
|
*/
|
|
export declare type ModelSignal = Message<"ml.ModelSignal"> & {
|
|
/**
|
|
* @generated from field: string model_name = 1;
|
|
*/
|
|
modelName: string;
|
|
|
|
/**
|
|
* @generated from field: double signal_strength = 2;
|
|
*/
|
|
signalStrength: number;
|
|
|
|
/**
|
|
* @generated from field: ml.PredictionType direction = 3;
|
|
*/
|
|
direction: PredictionType;
|
|
|
|
/**
|
|
* @generated from field: double confidence = 4;
|
|
*/
|
|
confidence: number;
|
|
};
|
|
|
|
/**
|
|
* Describes the message ml.ModelSignal.
|
|
* Use `create(ModelSignalSchema)` to create a new message.
|
|
*/
|
|
export declare const ModelSignalSchema: GenMessage<ModelSignal>;
|
|
|
|
/**
|
|
* Types of predictions that ML models can generate
|
|
*
|
|
* @generated from enum ml.PredictionType
|
|
*/
|
|
export enum PredictionType {
|
|
/**
|
|
* Default/unknown prediction type
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* Recommendation to buy (go long)
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_BUY = 1;
|
|
*/
|
|
BUY = 1,
|
|
|
|
/**
|
|
* Recommendation to sell (go short)
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_SELL = 2;
|
|
*/
|
|
SELL = 2,
|
|
|
|
/**
|
|
* Recommendation to hold position
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_HOLD = 3;
|
|
*/
|
|
HOLD = 3,
|
|
|
|
/**
|
|
* Price expected to increase
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_PRICE_UP = 4;
|
|
*/
|
|
PRICE_UP = 4,
|
|
|
|
/**
|
|
* Price expected to decrease
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_PRICE_DOWN = 5;
|
|
*/
|
|
PRICE_DOWN = 5,
|
|
|
|
/**
|
|
* High volatility expected
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_VOLATILITY_HIGH = 6;
|
|
*/
|
|
VOLATILITY_HIGH = 6,
|
|
|
|
/**
|
|
* Low volatility expected
|
|
*
|
|
* @generated from enum value: PREDICTION_TYPE_VOLATILITY_LOW = 7;
|
|
*/
|
|
VOLATILITY_LOW = 7,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.PredictionType.
|
|
*/
|
|
export declare const PredictionTypeSchema: GenEnum<PredictionType>;
|
|
|
|
/**
|
|
* Current operational state of ML models
|
|
*
|
|
* @generated from enum ml.ModelState
|
|
*/
|
|
export enum ModelState {
|
|
/**
|
|
* Default/unknown state
|
|
*
|
|
* @generated from enum value: MODEL_STATE_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* Model is loading from storage
|
|
*
|
|
* @generated from enum value: MODEL_STATE_LOADING = 1;
|
|
*/
|
|
LOADING = 1,
|
|
|
|
/**
|
|
* Model loaded and ready for predictions
|
|
*
|
|
* @generated from enum value: MODEL_STATE_READY = 2;
|
|
*/
|
|
READY = 2,
|
|
|
|
/**
|
|
* Model actively making predictions
|
|
*
|
|
* @generated from enum value: MODEL_STATE_PREDICTING = 3;
|
|
*/
|
|
PREDICTING = 3,
|
|
|
|
/**
|
|
* Model is being retrained
|
|
*
|
|
* @generated from enum value: MODEL_STATE_TRAINING = 4;
|
|
*/
|
|
TRAINING = 4,
|
|
|
|
/**
|
|
* Model encountered an error
|
|
*
|
|
* @generated from enum value: MODEL_STATE_ERROR = 5;
|
|
*/
|
|
ERROR = 5,
|
|
|
|
/**
|
|
* Model is offline/disabled
|
|
*
|
|
* @generated from enum value: MODEL_STATE_OFFLINE = 6;
|
|
*/
|
|
OFFLINE = 6,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.ModelState.
|
|
*/
|
|
export declare const ModelStateSchema: GenEnum<ModelState>;
|
|
|
|
/**
|
|
* Health status of ML models
|
|
*
|
|
* @generated from enum ml.ModelHealth
|
|
*/
|
|
export enum ModelHealth {
|
|
/**
|
|
* Default/unknown health
|
|
*
|
|
* @generated from enum value: MODEL_HEALTH_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* Model operating normally
|
|
*
|
|
* @generated from enum value: MODEL_HEALTH_HEALTHY = 1;
|
|
*/
|
|
HEALTHY = 1,
|
|
|
|
/**
|
|
* Model performance degraded
|
|
*
|
|
* @generated from enum value: MODEL_HEALTH_DEGRADED = 2;
|
|
*/
|
|
DEGRADED = 2,
|
|
|
|
/**
|
|
* Model not performing well
|
|
*
|
|
* @generated from enum value: MODEL_HEALTH_UNHEALTHY = 3;
|
|
*/
|
|
UNHEALTHY = 3,
|
|
|
|
/**
|
|
* Model in critical state
|
|
*
|
|
* @generated from enum value: MODEL_HEALTH_CRITICAL = 4;
|
|
*/
|
|
CRITICAL = 4,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.ModelHealth.
|
|
*/
|
|
export declare const ModelHealthSchema: GenEnum<ModelHealth>;
|
|
|
|
/**
|
|
* Types of features used in ML models
|
|
*
|
|
* @generated from enum ml.FeatureType
|
|
*/
|
|
export enum FeatureType {
|
|
/**
|
|
* Default/unknown feature type
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* Price-based features (OHLC, etc.)
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_PRICE = 1;
|
|
*/
|
|
PRICE = 1,
|
|
|
|
/**
|
|
* Volume-based features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_VOLUME = 2;
|
|
*/
|
|
VOLUME = 2,
|
|
|
|
/**
|
|
* Technical indicators (RSI, MACD, etc.)
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_TECHNICAL = 3;
|
|
*/
|
|
TECHNICAL = 3,
|
|
|
|
/**
|
|
* Fundamental analysis features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_FUNDAMENTAL = 4;
|
|
*/
|
|
FUNDAMENTAL = 4,
|
|
|
|
/**
|
|
* Market sentiment features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_SENTIMENT = 5;
|
|
*/
|
|
SENTIMENT = 5,
|
|
|
|
/**
|
|
* Macroeconomic features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_MACRO = 6;
|
|
*/
|
|
MACRO = 6,
|
|
|
|
/**
|
|
* Time-based features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_TIME = 7;
|
|
*/
|
|
TIME = 7,
|
|
|
|
/**
|
|
* Order book depth and microstructure features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_ORDERBOOK = 8;
|
|
*/
|
|
ORDERBOOK = 8,
|
|
|
|
/**
|
|
* Market microstructure and flow features
|
|
*
|
|
* @generated from enum value: FEATURE_TYPE_MICROSTRUCTURE = 9;
|
|
*/
|
|
MICROSTRUCTURE = 9,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.FeatureType.
|
|
*/
|
|
export declare const FeatureTypeSchema: GenEnum<FeatureType>;
|
|
|
|
/**
|
|
* Signal strength levels for predictions
|
|
*
|
|
* @generated from enum ml.SignalStrength
|
|
*/
|
|
export enum SignalStrength {
|
|
/**
|
|
* Default/unknown strength
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* Very weak signal confidence
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_VERY_WEAK = 1;
|
|
*/
|
|
VERY_WEAK = 1,
|
|
|
|
/**
|
|
* Weak signal confidence
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_WEAK = 2;
|
|
*/
|
|
WEAK = 2,
|
|
|
|
/**
|
|
* Moderate signal confidence
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_MODERATE = 3;
|
|
*/
|
|
MODERATE = 3,
|
|
|
|
/**
|
|
* Strong signal confidence
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_STRONG = 4;
|
|
*/
|
|
STRONG = 4,
|
|
|
|
/**
|
|
* Very strong signal confidence
|
|
*
|
|
* @generated from enum value: SIGNAL_STRENGTH_VERY_STRONG = 5;
|
|
*/
|
|
VERY_STRONG = 5,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.SignalStrength.
|
|
*/
|
|
export declare const SignalStrengthSchema: GenEnum<SignalStrength>;
|
|
|
|
/**
|
|
* @generated from enum ml.PredictionEventType
|
|
*/
|
|
export enum PredictionEventType {
|
|
/**
|
|
* @generated from enum value: PREDICTION_EVENT_TYPE_UNSPECIFIED = 0;
|
|
*/
|
|
UNSPECIFIED = 0,
|
|
|
|
/**
|
|
* @generated from enum value: PREDICTION_EVENT_TYPE_NEW = 1;
|
|
*/
|
|
NEW = 1,
|
|
|
|
/**
|
|
* @generated from enum value: PREDICTION_EVENT_TYPE_UPDATED = 2;
|
|
*/
|
|
UPDATED = 2,
|
|
|
|
/**
|
|
* @generated from enum value: PREDICTION_EVENT_TYPE_EXPIRED = 3;
|
|
*/
|
|
EXPIRED = 3,
|
|
|
|
/**
|
|
* @generated from enum value: PREDICTION_EVENT_TYPE_CONFIRMED = 4;
|
|
*/
|
|
CONFIRMED = 4,
|
|
}
|
|
|
|
/**
|
|
* Describes the enum ml.PredictionEventType.
|
|
*/
|
|
export declare const PredictionEventTypeSchema: GenEnum<PredictionEventType>;
|
|
|
|
/**
|
|
* ML Service provides machine learning model management, predictions, and insights for trading decisions.
|
|
* This service integrates multiple ML models including MAMBA-2, TLOB transformers, DQN, and PPO models
|
|
* to provide real-time predictions, ensemble voting, and model performance monitoring.
|
|
*
|
|
* @generated from service ml.MLService
|
|
*/
|
|
export declare const MLService: GenService<{
|
|
/**
|
|
* Model Predictions and Inference
|
|
* Get single prediction from a specific model
|
|
*
|
|
* @generated from rpc ml.MLService.GetPrediction
|
|
*/
|
|
getPrediction: {
|
|
methodKind: "unary";
|
|
input: typeof GetPredictionRequestSchema;
|
|
output: typeof GetPredictionResponseSchema;
|
|
},
|
|
/**
|
|
* Stream real-time predictions from multiple models
|
|
*
|
|
* @generated from rpc ml.MLService.StreamPredictions
|
|
*/
|
|
streamPredictions: {
|
|
methodKind: "server_streaming";
|
|
input: typeof StreamPredictionsRequestSchema;
|
|
output: typeof PredictionEventSchema;
|
|
},
|
|
/**
|
|
* Get ensemble voting results from multiple models
|
|
*
|
|
* @generated from rpc ml.MLService.GetEnsembleVote
|
|
*/
|
|
getEnsembleVote: {
|
|
methodKind: "unary";
|
|
input: typeof GetEnsembleVoteRequestSchema;
|
|
output: typeof GetEnsembleVoteResponseSchema;
|
|
},
|
|
/**
|
|
* Model Lifecycle Management
|
|
* Get current status of ML models (health, performance, etc.)
|
|
*
|
|
* @generated from rpc ml.MLService.GetModelStatus
|
|
*/
|
|
getModelStatus: {
|
|
methodKind: "unary";
|
|
input: typeof GetModelStatusRequestSchema;
|
|
output: typeof GetModelStatusResponseSchema;
|
|
},
|
|
/**
|
|
* List all available models and their capabilities
|
|
*
|
|
* @generated from rpc ml.MLService.GetAvailableModels
|
|
*/
|
|
getAvailableModels: {
|
|
methodKind: "unary";
|
|
input: typeof GetAvailableModelsRequestSchema;
|
|
output: typeof GetAvailableModelsResponseSchema;
|
|
},
|
|
/**
|
|
* Trigger model retraining with new data
|
|
*
|
|
* @generated from rpc ml.MLService.RetrainModel
|
|
*/
|
|
retrainModel: {
|
|
methodKind: "unary";
|
|
input: typeof RetrainModelRequestSchema;
|
|
output: typeof RetrainModelResponseSchema;
|
|
},
|
|
/**
|
|
* Model Performance and Analytics
|
|
* Get comprehensive performance metrics for a model
|
|
*
|
|
* @generated from rpc ml.MLService.GetModelPerformance
|
|
*/
|
|
getModelPerformance: {
|
|
methodKind: "unary";
|
|
input: typeof GetModelPerformanceRequestSchema;
|
|
output: typeof GetModelPerformanceResponseSchema;
|
|
},
|
|
/**
|
|
* Stream real-time model performance metrics
|
|
*
|
|
* @generated from rpc ml.MLService.StreamModelMetrics
|
|
*/
|
|
streamModelMetrics: {
|
|
methodKind: "server_streaming";
|
|
input: typeof StreamModelMetricsRequestSchema;
|
|
output: typeof ModelMetricsEventSchema;
|
|
},
|
|
/**
|
|
* Feature Analysis and Signal Intelligence
|
|
* Get feature importance analysis for model interpretation
|
|
*
|
|
* @generated from rpc ml.MLService.GetFeatureImportance
|
|
*/
|
|
getFeatureImportance: {
|
|
methodKind: "unary";
|
|
input: typeof GetFeatureImportanceRequestSchema;
|
|
output: typeof GetFeatureImportanceResponseSchema;
|
|
},
|
|
/**
|
|
* Stream real-time signal strength indicators across models
|
|
*
|
|
* @generated from rpc ml.MLService.StreamSignalStrength
|
|
*/
|
|
streamSignalStrength: {
|
|
methodKind: "server_streaming";
|
|
input: typeof StreamSignalStrengthRequestSchema;
|
|
output: typeof SignalStrengthEventSchema;
|
|
},
|
|
/**
|
|
* Server-streaming: polls GetModelStatus at gateway level
|
|
*
|
|
* @generated from rpc ml.MLService.StreamModelStatus
|
|
*/
|
|
streamModelStatus: {
|
|
methodKind: "server_streaming";
|
|
input: typeof StreamModelStatusRequestSchema;
|
|
output: typeof GetModelStatusResponseSchema;
|
|
},
|
|
}>;
|
|
|