July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Step 7 – creating a Random Forest classifier
In reference to Step 5 - DataFrame Creation. This DataFrame 'dataFrame' contains column names that corresponds to the columns present in the DataFrame produced in that step
The first step to create a classifier is to pass into it (hyper) parameters. A fairly comprehensive list of parameters look like this:
- From 'dataFrame' we need the Features column name - iris-features-column
- From 'dataFrame' we also need the Indexed label column name - iris-species-label-column
- The sqrt setting for featureSubsetStrategy
- Number of features to be considered per split (we have 150 observations and four features that will make our max_features value 2)
- Impurity settings—values can be gini and entropy
- Number of ...
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