Class FeatureMap (0.6.2)

FeatureMap(mapping=None, *, ignore_unknown_fields=False, **kwargs)

FeatureMap represents extra features that customers want to include in the recommendation model for catalogs/user events as categorical/numerical features.

Attributes
Name	Description
`categorical_features`	`Mapping[str, google.cloud.recommendationengine_v1beta1.types.FeatureMap.StringList]` Categorical features that can take on one of a limited number of possible values. Some examples would be the brand/maker of a product, or country of a customer. Feature names and values must be UTF-8 encoded strings. For example: `{ "colors": {"value": ["yellow", "green"]}, "sizes": {"value":["S", "M"]}`
`numerical_features`	`Mapping[str, google.cloud.recommendationengine_v1beta1.types.FeatureMap.FloatList]` Numerical features. Some examples would be the height/weight of a product, or age of a customer. Feature names must be UTF-8 encoded strings. For example: `{ "lengths_cm": {"value":[2.3, 15.4]}, "heights_cm": {"value":[8.1, 6.4]} }`

Classes

CategoricalFeaturesEntry

CategoricalFeaturesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
`kwargs`	`dict` Keys and values corresponding to the fields of the message.
`mapping`	`Union[dict, .Message]` A dictionary or message to be used to determine the values for this message.
`ignore_unknown_fields`	`Optional(bool)` If True, do not raise errors for unknown fields. Only applied if `mapping` is a mapping type or there are keyword parameters.

FloatList

FloatList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of float features.

NumericalFeaturesEntry

NumericalFeaturesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)