| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| # read input frame |
| F = read($1, data_type="frame", format="csv"); |
| F[,3] = map(F[,3], "v -> UtilFunctions.toMillis(v, \"yyyy-mm-dd\")"); |
| |
| # one-hot encoding and pass-through |
| jspec = "{ids: true, dummycode: [1,2]}"; |
| [X0, M] = transformencode(target=F, spec=jspec); |
| X = scale(X0[,1:(ncol(X0)-1)], TRUE, TRUE); |
| y = X0[,ncol(X0)] |
| |
| # model training |
| B = lm(X=X, y=y, reg=1e-9, verbose=TRUE); |
| |
| # compute and write-out R2 |
| yhat = X %*% B; |
| R2 = 1 - sum((y-yhat)^2) / sum((y-sum(y)/nrow(y))^2); |
| write(R2, $2); |