import type { DetectionClass, PerceptronParams } from "@protontech/autofill/types";
import type { Result } from "@protontech/autofill/types/utils";
import type { RandomForest } from "@protontech/ml-inference";
export type ValidationProblem = {
    kind: "missing-class";
    klass: DetectionClass;
} | {
    kind: "extra-class";
    klass: string;
} | {
    kind: "malformed-coeffs";
    klass: DetectionClass;
} | {
    kind: "malformed-bias";
    klass: DetectionClass;
} | {
    kind: "malformed-coeff";
    klass: DetectionClass;
    index: number;
} | {
    kind: "unknown-features";
    klass: DetectionClass;
    features: string[];
} | {
    kind: "malformed-node-arrays";
    klass: DetectionClass;
    treeIdx: number;
} | {
    kind: "mismatched-node-array-lengths";
    klass: DetectionClass;
    treeIdx: number;
    arrays: string[];
} | {
    kind: "out-of-range-split-index";
    klass: DetectionClass;
    treeIdx: number;
    nodeIdx: number;
    featureIdx: number;
} | {
    kind: "out-of-range-child-index";
    klass: DetectionClass;
    treeIdx: number;
    childIdx: number;
} | {
    kind: "malformed-forest-params";
    klass: DetectionClass;
} | {
    kind: "unsupported-objective";
    klass: DetectionClass;
    objective: string;
} | {
    kind: "empty-trees";
    klass: DetectionClass;
} | {
    kind: "tree-info-length-mismatch";
    klass: DetectionClass;
} | {
    kind: "out-of-range-tree-info-class-index";
    klass: DetectionClass;
    treeIdx: number;
    classIdx: number;
};
export declare const formatValidationProblem: (problem: ValidationProblem) => string;
export declare const validatePerceptronWeights: (weights: Record<DetectionClass, PerceptronParams>) => Result<void, ValidationProblem[]>;
export declare const validateRandomForestWeights: (weights: Record<DetectionClass, RandomForest>) => Result<void, ValidationProblem[]>;