.. ****************************************************************************** .. * Copyright 2020 Intel Corporation .. * .. * Licensed under the Apache License, Version 2.0 (the "License"); .. * you may not use this file except in compliance with the License. .. * You may obtain a copy of the License at .. * .. * http://www.apache.org/licenses/LICENSE-2.0 .. * .. * 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. .. *******************************************************************************/ Normalization ============= Normalization is a set of algorithms intended to transform data before feeding it to some classes of algorithms, for example, classifiers [James2013]_. Normalization may improve computation accuracy and efficiency. Different rules can be used to normalize data. In |short_name|, two techniques to normalize data are implemented: z-score and min-max. .. toctree:: :maxdepth: 1 z-score.rst min-max.rst