| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------ |
| |
| # TODO: convert to DML builtin using cumsumprod(data, alpha) |
| |
| s_ema = function(Frame[Double] X, Integer search_iterations, String mode, Integer freq, |
| Double alpha, Double beta, Double gamma) return (Frame[Double] Y) { |
| M = map(X, "UtilFunctions.exponentialMovingAverageImputation(" + search_iterations + ";" |
| + mode + ";" + freq + ";" + alpha + ";" + beta + ";" + gamma + ")") |
| Y = as.frame(as.matrix(M)) |
| } |
| |