/**
*  @license
* Copyright 2021, JsData. All rights reserved.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.

* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* ==========================================================================
*/
import { Scikit2D, Tensor2D, Tensor1D } from '../types';
import { TransformerMixin } from '../mixins';
export interface SimpleImputerParams {
    /** The strategy you'd use to impute missing values. "mean" means
     * fill missing values with the mean. Likewise for "median" and "mostFrequent".
     * Use "constant" if you'd like to pass in a "fillValue" and use that to fill
     * missing values. **default = "mean"**
     */
    strategy?: 'mean' | 'median' | 'mostFrequent' | 'constant';
    /** If you choose "constant" pick a value that you'd
     * like to use to fill the missing values. **default = undefined**
     */
    fillValue?: string | number | undefined;
    /** This value is the actual missing value. **default = NaN** */
    missingValues?: number | string | null | undefined;
}
export declare class SimpleImputer extends TransformerMixin {
    missingValues: number | string | null | undefined;
    fillValue: string | number | undefined;
    strategy: 'mean' | 'median' | 'mostFrequent' | 'constant';
    statistics: Tensor1D;
    /** Useful for pipelines and column transformers to have a default name for transforms */
    name: string;
    tf: any;
    constructor({ strategy, fillValue, missingValues }?: SimpleImputerParams);
    fit(X: Scikit2D): SimpleImputer;
    transform(X: Scikit2D): Tensor2D;
}