prediction_tables: predict outcomes of observations in data using *selected...
In skimlab/CCSBUtils: R Utilitiy Functions for CCSB
View source: R/classifier_model_summary.R
prediction_tables R Documentation
predict outcomes of observations in data using *selected features*
Description
predict outcomes of observations in data using *selected features*
Usage
prediction_tables(data, cls, model)
Arguments
data
input matrix, of dimension nobs x nvars;
each row is an observation vector.
Since this is an input to glmnet,
it should be the format that can be used
with glmnet
cls
class labels
model
a CV trained model, an output of cv_loop_train_iter
Value
A list of
class (class labels),
trained (names of trained samples),
row.names (selected features),
pred (predicted outcomes), and
prob (probabilities of predicted outcomes)
skimlab/CCSBUtils documentation built on March 30, 2022, 4:52 a.m.
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View source: R/classifier_model_summary.R
| prediction_tables | R Documentation |
predict outcomes of observations in data using *selected features*
Description
predict outcomes of observations in data using *selected features*
Usage
prediction_tables(data, cls, model)
Arguments
data |
input matrix, of dimension |
cls |
class labels |
model |
a CV trained model, an output of cv_loop_train_iter |
Value
A list of class (class labels), trained (names of trained samples), row.names (selected features), pred (predicted outcomes), and prob (probabilities of predicted outcomes)
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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