873ad3f942
Adds a parameter `training_percent` to regression. The default value is `100`. When the parameter is set to a value less than `100`, from the rows that can be used for training (ie. those that have a value for the dependent variable) we randomly choose whether to actually use for training. This enables splitting the data into a training set and the rest, usually called testing, validation or holdout set, which allows for validating the model on data that have not been used for training. Technically, the analytics process considers as training the data that have a value for the dependent variable. Thus, when we decide a training row is not going to be used for training, we simply clear the row's dependent variable. |
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| NOTICE.txt | ||
| README.md | ||
| build.gradle | ||
README.md
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