| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| # create federated matrix |
| N = 1000000; |
| M = 40; |
| data = federated(type="frame", |
| addresses=list("localhost:8001/./data/criteo_day21_1M_cleaned", |
| "localhost:8002/./data/criteo_day21_1M_cleaned", |
| "localhost:8003/./data/criteo_day21_1M_cleaned"), |
| ranges= list(list(0,0),list(N/3,M), |
| list(N/3,0),list((N/3)*2,M), |
| list((N/3)*2,0),list(N, M)) |
| ) |
| |
| # transform encode |
| jspec1 = read("code/exp/criteo_spec1.json", data_type="scalar", value_type="string"); |
| [X0, M] = transformencode(target=data, spec=jspec1); |
| |
| |
| y = X0[,1] + 1; |
| X = X0[,2:ncol(X0)] |
| B = multiLogReg(X=X, Y=y, icpt=2, maxi=30, verbose=TRUE); |
| |
| ## done |
| [m, pred, acc] = multiLogRegPredict(X=X, B=B, Y=y, verbose=TRUE) |
| [co, avg] = confusionMatrix(P=pred, Y=y) |
| print(toString(avg)) |