make bin index set for ALL POSSIBLE bins in training data featPair <- featurePairs[1,] TODO NEED TO FIX INDEXING FOR BINS, CANNOT SKIP STORAGE OF BIN INDECES THAT ARE EMPTY SINCE THEY ARE NEEDED FOR NEW OBSERVATIONS featPair <- featurePairs[1,] FEATURE PAIRS ONLY HOLDS ONE NOW
1 | make_train_bins_index(train_data, featurePairs, bin_type = "standard", nbins)
|
train_data |
Training data from which to build bins |
featurePairs |
Data frame with one row that has original binning features' names, and then augmented feature names |
bin_type |
"standard", "quantile" |
nbins |
The number of bins |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.