dgsrow_minibatch_parallle2: MiniBatch DGSRow Distributed

In Beuleup93/dgrGlm: Regression logistic binary tools

Description

MiniBatch DGSRow Distributed

Usage

dgsrow_minibatch_parallle2(
  X,
  y,
  theta,
  batch_size,
  ncores,
  leaning_rate,
  max_iter,
  tolerance
)

Arguments

X	is the matrix of our predictor variables with the bias column
y	is a target variable to predict
theta	is a vector containing the parameters or coefficient of the logistic to be estimated
batch_size	a parameter that specifies the number of observations in each mini-batch. It can significantly affect performance
ncores	parameters representing the number of cores to be used for parallel execution
leaning_rate	is the learning rate that controls the magnitude of the vector update.
max_iter	is the number of iterations.
tolerance	an additional parameter which specifies the minimum movement allowed for each iteration

Value

this function returns an instance containing:

• final theta

• history cost

• iteration number

• iteration number minibatch

Examples

## Not run: 
 dgsrow_minibatch_parallle_bis(X,y,theta)
 dgsrow_minibatch_parallle_bis(X,y,theta,ncores=3)

## End(Not run)

Beuleup93/dgrGlm documentation built on Dec. 17, 2021, 10:50 a.m.