import { TransformerBase } from '../base';
import { Params } from '../base/estimator';
import { CSRMatrix, TextDocuments } from '../data';
export interface CountVectorizerProps {
    lowercase?: boolean;
    stopWords?: string[];
    ngramRange?: [number, number];
    minDf?: number;
    maxDf?: number;
    maxFeatures?: number;
    binary?: boolean;
    vocabulary?: Record<string, number> | Map<string, number>;
}
export declare class CountVectorizer extends TransformerBase<TextDocuments, CSRMatrix> {
    readonly acceptedInputKinds: readonly ["text"];
    private lowercase;
    private stopWords;
    private ngramRange;
    private minDf;
    private maxDf;
    private maxFeatures?;
    private binary;
    private fixedVocabulary?;
    private vocabularyState;
    constructor(props?: CountVectorizerProps);
    getParams(): Params;
    private analyze;
    fit(documents: string[]): void;
    transform(documents: string[]): CSRMatrix;
    get vocabulary(): ReadonlyMap<string, number>;
    getFeatureNamesOut(): string[];
}