| #------------------------------------------------------------- |
| # |
| # 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 the pre-trained word embeddings |
| E = read($1, rows=100, cols=300, format="text"); |
| # Read the token sequence (1K) w/ 100 distinct tokens |
| Data = read($2, data_type="frame", format="csv"); |
| # Read the recode map for the distinct tokens |
| Meta = read($3, data_type="frame", format="csv"); |
| |
| jspec = "{ids: true, dummycode: [1]}"; |
| Data_enc = transformapply(target=Data, spec=jspec, meta=Meta); |
| |
| # Apply the embeddings on all tokens (1K x 100) |
| R = Data_enc %*% E; |
| |
| write(R, $4, format="text"); |
| |
