check_all | R Documentation |
Check all params that don't return a value
check_all(
dataset,
method,
permute,
kfold,
training_frac,
perf_metric_function,
perf_metric_name,
groups,
group_partitions,
corr_thresh,
seed,
hyperparameters
)
dataset |
Data frame with an outcome variable and other columns as features. |
method |
ML method.
Options:
|
kfold |
Fold number for k-fold cross-validation (default: |
training_frac |
Fraction of data for training set (default: |
perf_metric_function |
Function to calculate the performance metric to
be used for cross-validation and test performance. Some functions are
provided by caret (see |
perf_metric_name |
The column name from the output of the function
provided to perf_metric_function that is to be used as the performance metric.
Defaults: binary classification = |
groups |
Vector of groups to keep together when splitting the data into
train and test sets. If the number of groups in the training set is larger
than |
group_partitions |
Specify how to assign |
corr_thresh |
For feature importance, group correlations
above or equal to |
seed |
Random seed (default: |
hyperparameters |
Dataframe of hyperparameters
(default |
Kelly Sovacool, sovacool@umich.edu
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