online_leraning.matrix: Online learning with stream of samples.
In haven-jeon/BOPR: Bayesian online learning scheme for probit regression with R
Description
Usage
Arguments
Value
Description
Online learning with stream of samples.
Usage
1
online_leraning.matrix(object, x = NULL, y = NULL, allow.new = TRUE)
Arguments
object
BOPR object
x
a matrix of predictors.
y
a factor vector with 2 level
allow.new
allow new levels of current variable
Value
S3 BOPR object; a list of consisting of
beta_matrix
beta matrix with mean and variance
beta
scaling parameter
prior_prob
prior of initial parametes
epsilon
parameter to apply dynamics
haven-jeon/BOPR documentation built on May 17, 2019, 3:05 p.m.
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Description Usage Arguments Value
Description
Online learning with stream of samples.
Usage
1 | online_leraning.matrix(object, x = NULL, y = NULL, allow.new = TRUE)
|
Arguments
object |
|
x |
a matrix of predictors. |
y |
a factor vector with 2 level |
allow.new |
allow new levels of current variable |
Value
S3 BOPR object; a list of consisting of
beta_matrix |
beta matrix with mean and variance |
beta |
scaling parameter |
prior_prob |
prior of initial parametes |
epsilon |
parameter to apply dynamics |
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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