inputtables_to_keras: Separate independent variables from response column for...

Description Usage Arguments Value

View source: R/keras_prepare_functions.r

Description

This functions converts the prepared list into the keras tensorflow required shape. This means that the independent predictor variables are separated from the response variable. A given dummy response variable is represented by as many columns as it originally had levels, because the output layer of the neural network consists of one node per level. This step is skipped for non-dummy numerical response variables, e.g. as in case of regression.

Usage

1
inputtables_to_keras(final_input_tables)

Arguments

final_input_tables

a list of splitted input tables. The "train_set" and "test_set" tables need to be located at e.g 'final_input_tables[[1]][["train_set"]]' and 'final_input_tables[[1]][["test_set"]]', respectively

Value

A list of lists of splitted table_list items


RJ333/phyloseq2ML documentation built on June 2, 2020, 9:25 p.m.