iucnn_model: Interface to a neural network model for automated species...

In barnabywalker/tidyassessments: Model Wrappers for Automated Conservation Assessments

Interface to a neural network model for automated species conservation assessments via keras

Description

iucnn_model() builds a sequential keras model from a string specification of the units in each layer of the network. Regularisation is by dropout.

Usage

iucnn_model(
  x,
  y,
  layers = "30",
  dropout = 0,
  epochs = 30,
  validation_data = NULL,
  save_history = FALSE,
  ...
)

Arguments

x	A dataframe of matrix of predictors
y	A vector (factor or character) of outcome data.
layers	A string specification of the number of hidden units in each layer, e.g. "40_20"
dropout	The proportion of parameters to set to zero.
epochs	An integer for the number of passes through the data.
validation_data	A dataframe of data for validation with columns for predictiors in x and the outcome y, or a list of two matrices for the predictors and outcome.
save_history	Logical, whether to save the loss values for each epoch during training.
...	compilation and fitting arguments to pass to the keras model.

Value

A keras model object.

barnabywalker/tidyassessments documentation built on April 8, 2022, 12:32 p.m.