num_outputs: Calculate number of outputs (target variables)
In processpredictR: Process Prediction
num_outputs R Documentation
Calculate number of outputs (target variables)
Description
Calculate number of outputs (target variables)
Usage
num_outputs(processed_df)
Arguments
processed_df
A processed dataset of class ppred_examples_df.
Value
an integer number of outputs for supplying as an argument to a Transformer model, i.e. number of unique labels for a specific process monitoring task.
Examples
library(processpredictR)
library(eventdataR)
df <- prepare_examples(patients)
num_outputs(df)
processpredictR documentation built on Jan. 18, 2023, 1:09 a.m.
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| num_outputs | R Documentation |
Calculate number of outputs (target variables)
Description
Calculate number of outputs (target variables)
Usage
num_outputs(processed_df)
Arguments
processed_df |
A processed dataset of class |
Value
an integer number of outputs for supplying as an argument to a Transformer model, i.e. number of unique labels for a specific process monitoring task.
Examples
library(processpredictR) library(eventdataR) df <- prepare_examples(patients) num_outputs(df)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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