dot-InputFeatures_EF: Construct objects of class 'InputFeatures_FE'

In jonathanbratt/RBERT: R Implementation of BERT

Construct objects of class InputFeatures_FE

Description

An InputFeatures object is a single set of (input) features of data used for (output) feature extraction. Note that this class is similiar to the InputFeatures class used for simple sequence classification, with annoying differences. Will eventually standardize; till then, check parameter names. (RBERT issue #28.)

Usage

.InputFeatures_EF(unique_id, tokens, input_ids, input_mask, input_type_ids)

Arguments

unique_id	Integer or character; a unique id for this example.
tokens	Character vector; the actual tokens in this example.
input_ids	Integer vector; the sequence of token ids in this example.
input_mask	Integer vector; sequence of 1s (for "real" tokens) and 0s (for padding tokens).
input_type_ids	Integer vector; aka token_type_ids. Indicators for which sentence (or sequence) each token belongs to. Classical BERT supports only 0s and 1s (for first and second sentence, respectively).

Value

An object of class InputFeatures_FE.

jonathanbratt/RBERT documentation built on Jan. 26, 2023, 4:15 p.m.