Treats the column as categorical array and performs following
transformation functions.
For each element in the array, convert the category name to a
dictionary lookup index and generate an embedding for each index.
Combine the embedding of all elements into a single embedding
using the mean.
Treats the column as categorical array and performs following
transformation functions.
For each element in the array, convert the category name to a
dictionary lookup index and generate an embedding for each index.
Combine the embedding of all elements into a single embedding
using the mean.
Treats the column as categorical array and performs following
transformation functions.
For each element in the array, convert the category name to a
dictionary lookup index and generate an embedding for each index.
Combine the embedding of all elements into a single embedding
using the mean.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-06-17 UTC."],[],[]]