Resume training ensemble
ens1 = resume(ens,nlearn)
ens1 = resume(ens,nlearn,Name,Value)
trains ens1
= resume(ens
,nlearn
)ens
for nlearn
more cycles. resume
uses the same training options fitrensemble
used to create ens
, except for parallel
training options. If you want to resume training in parallel, pass the 'Options'
name-value pair.
trains ens1
= resume(ens
,nlearn
,Name,Value
)ens
with additional options specified by one or more
Name,Value
pair arguments.
|
A regression ensemble, created with |
|
A positive integer, the number of cycles for additional training of
|
Specify optional
comma-separated pairs of Name,Value
arguments. Name
is
the argument name and Value
is the corresponding value.
Name
must appear inside quotes. You can specify several name and value
pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.
| Printout frequency, a positive integer scalar or Tip For fastest training of some boosted decision trees, set Default: | ||||||||||||
| Options for computing in parallel and setting random numbers, specified as a structure. Create
the Note You need Parallel Computing Toolbox™ to compute in parallel. You can use the same parallel options for
For dual-core systems and above, Example: |
|
The regression ensemble |
fitrensemble
| RegressionBaggedEnsemble
| RegressionEnsemble