zhipeng93 commented on code in PR #196: URL: https://github.com/apache/flink-ml/pull/196#discussion_r1068995637
########## docs/content/docs/operators/feature/onlinestandardscaler.md: ########## @@ -0,0 +1,261 @@ +--- +title: "OnlineStandardScaler" +weight: 1 +type: docs +aliases: +- /operators/feature/onlinestandardscaler.html +--- + +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you 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. +--> + +## OnlineStandardScaler + +An Estimator which implements the online standard scaling algorithm, which +is the online version of StandardScaler. + +OnlineStandardScaler splits the input data by the user-specified window strategy. +For each window, it computes the mean and standard deviation using the data seen +so far (i.e., not only the data in the current window, but also the history data). +The model data generated by OnlineStandardScaler is a model stream. +There is one model data for each window. + +During the inference phase (i.e., using OnlineStandardScalerModel for prediction), +users could output the model version that is used for predicting each data point. +Moreover, +- When the train data and test data both contain event time, users could +specify the maximum difference between timestamp of the input and model data, Review Comment: ah, thanks for pointing this out, it is fixed now. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
