Each variable/feature is mean centred and scaled by the standard deviation. The transformed variables have zero-mean and unit-variance.
Arguments
- mode
(character) Mode of action. Allowed values are limited to the following:
"data": Autoscaling is applied to the data matrix only."sample_meta": Autoscaling is applied to the sample_meta data only."both": Autoscaling is applied to both the data matrix and the meta data.
The default is
"data".- ...
Additional slots and values passed to
struct_class.
Value
A autoscale object with the following output slots:
autoscaled | (DatasetExperiment) |
mean_data | (numeric) |
sd_data | (numeric) |
mean_sample_meta | (numeric) |
sd_sample_meta | (numeric) |
Inheritance
A autoscale object inherits the following struct classes: [autoscale] >> [model] >> [struct_class]
Examples
M = autoscale(
mode = "data")
D = iris_DatasetExperiment()
M = autoscale()
M = model_train(M,D)
M = model_predict(M,D)