Trains an item2vec model on provided lists of items (or sentences of words, etc.).
window
parameter (see
below) with a value of “all”.
We use gensim to train the item2vec model, so for further details also see it’s
word2vec page.
Examples
ds.first_name
), datasets (ds
or ds[["first_name", "last_name"]]
) or models (referenced
by name e.g. "churn-clf"
).
Inputs
Outputs
step(..., {"param": "value", ...}) -> (output)
.
Parameters
Options