plot_loss: plot_loss function

In SaraGarcesCespedes/estimtf: Estimation of Distributional and Regression Parameters using TensorFlow

Description

Function to display a graph that contains the loss value computed in each iteration of the optimization process performed using the mle_tf function or using the mlereg_tf function.

Usage

plot_loss(object, ...)

Arguments

object	an object of class MLEtf for which the construction of a graph with the loss values is desired.
...	additional arguments affecting the constructed graph.

Details

plot_loss.MLEtf function displays a graph of the loss value, which correspond to the negative log-likelihood computed in each iteration of the optimization process.

Author(s)

Sara Garcés Céspedes [e-mail]

Examples

#---------------------------------------------------------------
# Estimation of both normal distrubution parameters

# Generate a sample from the normal distribution
x <- rnorm(n = 1000, mean = 10, sd = 3)

# Use the plot_loss function
plot_loss(mle_tf(x,
                 xdist = "Normal",
                 optimizer = "AdamOptimizer",
                 initparam = list(mean = 1.0, sd = 1.0),
                 hyperparameters = list(learning_rate = 0.1)))

SaraGarcesCespedes/estimtf documentation built on Nov. 7, 2021, 10:29 p.m.