org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.nd4j.linalg.dataset.api.preprocessor;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
public interface MultiDataNormalization extends Normalizer, MultiDataSetPreProcessor {
/**
* Iterates over a dataset
* accumulating statistics for normalization
*
* @param iterator the iterator to use for
* collecting statistics.
*/
void fit(MultiDataSetIterator iterator);
@Override
void preProcess(MultiDataSet multiDataSet);
/**
* Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
*
* @param features Features to revert the normalization on
* @param featuresMask
*/
void revertFeatures(INDArray[] features, INDArray[] featuresMask);
/**
* Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
*
* @param features Features to revert the normalization on
*/
void revertFeatures(INDArray[] features);
/**
* Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
* If labels normalization is disabled (i.e., {@link #isFitLabel()} == false) then this is a no-op.
* Can also be used to undo normalization for network output arrays, in the case of regression.
*
* @param labels Labels array to revert the normalization on
* @param labelsMask Labels mask array (may be null)
*/
void revertLabels(INDArray[] labels, INDArray[] labelsMask);
/**
* Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
* If labels normalization is disabled (i.e., {@link #isFitLabel()} == false) then this is a no-op.
* Can also be used to undo normalization for network output arrays, in the case of regression.
*
* @param labels Labels array to revert the normalization on
*/
void revertLabels(INDArray[] labels);
}