model_info | R Documentation |
This generic function let user extract base information about model. The function returns a named list of class model_info
that
contain about package of model, version and task type. For wrappers like mlr
or caret
both, package and wrapper inforamtion
are stored
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'lm'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'randomForest'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'svm'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'glm'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'lrm'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'glmnet'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'cv.glmnet'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'ranger'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'gbm'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'model_fit'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'train'
model_info(model, is_multiclass = FALSE, ...)
## S3 method for class 'rpart'
model_info(model, is_multiclass = FALSE, ...)
## Default S3 method:
model_info(model, is_multiclass = FALSE, ...)
model |
- model object |
is_multiclass |
- if TRUE and task is classification, then multitask classification is set. Else is omitted. If |
... |
- another arguments |
Currently supported packages are:
class cv.glmnet
and glmnet
- models created with glmnet package
class glm
- generalized linear models
class lrm
- models created with rms package,
class model_fit
- models created with parsnip package
class lm
- linear models created with stats::lm
class ranger
- models created with ranger package
class randomForest
- random forest models created with randomForest package
class svm
- support vector machines models created with the e1071 package
class train
- models created with caret package
class gbm
- models created with gbm package
A named list of class model_info
aps_lm_model4 <- lm(m2.price ~., data = apartments)
model_info(aps_lm_model4)
library("ranger")
model_regr_rf <- ranger::ranger(status~., data = HR, num.trees = 50, probability = TRUE)
model_info(model_regr_rf, is_multiclass = TRUE)
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