FeatureNames

is an option for machine learning functions such as Classify or Predict that specifies names to use for elements of input data given.

Details

Possible settings for FeatureNames include:
Automatic assign names automatically

{"n₁","n₂",…} name the i feature "n_i"
Feature names must be strings.
When FeatureNamesAutomatic, features are named "f1", "f2", etc.
In the case of a dataset with named features, FeatureNames{"n₁","n₂",…} can be used to define the ordering of the features.

Examples

Train a classifier and give a name to each feature:

Use the association format to predict a new example:

The list format can still be used:

Train a predictor on a training set with named features, and use FeatureNames to set their order:

Features are ordered as specified:

Classify a new example from a list:

Train a classifier without specifying feature names:

Use Information and FeatureNames to obtain the names that have been automatically given to features:

Use these names to classify a new example described by an association:

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