new_density_mix: Construct a dataframe with posterior class probabilities and...

In ryanholbrook/mlanimate: Plots and animations for machine learning topics

Description

Construct a dataframe with posterior class probabilities and the optimal decision boundary over a grid on the feature space

Usage

new_density_mix(
  mu_0,
  sigma_0,
  w_0,
  mu_1,
  sigma_1,
  w_1,
  p_0,
  x_min,
  x_max,
  y_min,
  y_max,
  delta = 0.05
)

Arguments

mu_0	numeric: the average mean of the components of the first feature
sigma_0	matrix: covariance of components of the first feature
w_0	numeric: vector of weights for components of the first feature
mu_1	numeric: the average mean of the components of the second feature
sigma_1	matrix: covariance of components of the second feature
w_1	numeric: vector of weights for components of the second feature
p_0	double: the prior probability of class 0

ryanholbrook/mlanimate documentation built on March 16, 2020, 4:34 p.m.