fit | R Documentation |
Fit a model to estimate its parameters from a data set.
fit(...) ## S3 method for class 'formula' fit(formula, data, model, ...) ## S3 method for class 'matrix' fit(x, y, model, ...) ## S3 method for class 'ModelFrame' fit(input, model = NULL, ...) ## S3 method for class 'recipe' fit(input, model = NULL, ...) ## S3 method for class 'ModelSpecification' fit(object, verbose = FALSE, ...) ## S3 method for class 'MLModel' fit(model, ...) ## S3 method for class 'MLModelFunction' fit(model, ...)
... |
arguments passed from the generic function to its methods, from
the |
formula, data |
formula defining the model predictor and response variables and a data frame containing them. |
model |
model function, function name, or object; or another object that can be coerced to a model. A model can be given first followed by any of the variable specifications. |
x, y |
matrix and object containing predictor and response variables. |
input |
input object defining and containing the model predictor and response variables. |
object |
model specification. |
verbose |
logical indicating whether to display printed output generated by some model-specific fit functions to aid in monitoring progress and diagnosing errors. |
User-specified case weights may be specified for ModelFrames
upon
creation with the weights
argument in its
constructor.
Variables in recipe
specifications may be designated as case weights
with the role_case
function.
MLModelFit
class object.
as.MLModel
, response
,
predict
, varimp
## Requires prior installation of suggested package gbm to run ## Survival response example library(survival) gbm_fit <- fit(Surv(time, status) ~ ., data = veteran, model = GBMModel) varimp(gbm_fit)
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