Paweł Jankiewicz pjankiewicz
shanebutler
/ sql.export.randomForest.R
Last active
September 14, 2020 14:04
Deploy your RandomForest models in SQL! This tool enables in-database scoring of Random Forest models built using R. To use it, you simply call the function with the Random Forest model, output filename, SQL input data table and the name of the unique key on that table. For example:sql.export.rf(rf.mdl, file="model_output.SQL", input.table="sour…
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # sql.export.rf(): save a randomForest model as SQL | |
| # v0.04 | |
| # Copyright (c) 2013-2014 Shane Butler <shane dot butler at gmail dot com> | |
| # | |
| # sql.export.rf is free software: you can redistribute it and/or modify it | |
| # under the terms of the GNU General Public License as published by | |
| # the Free Software Foundation, either version 2 of the License, or | |
| # (at your option) any later version. | |
| # | |
| # sql.export.rf is distributed in the hope that it will be useful, but |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import re | |
| from hashlib import md5 | |
| def gfm(text): | |
| # Extract pre blocks. | |
| extractions = {} | |
| def pre_extraction_callback(matchobj): | |
| digest = md5(matchobj.group(0)).hexdigest() | |
| extractions[digest] = matchobj.group(0) | |
| return "{gfm-extraction-%s}" % digest |