RecommendStrategy class

How to use positive and negative vectors to find the results, default is AverageVector.

Inheritance

Properties

hashCode → int
The hash code for this object.
no setterinherited
name → String
This enum's name, as specified in the .proto file.
finalinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
value → int
This enum's integer value, as specified in the .proto file.
finalinherited

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toString() → String
Returns this enum's name or the value if names are not represented.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Static Methods

valueOf(int value) → RecommendStrategy?

Constants

AverageVector → const RecommendStrategy
Average positive and negative vectors and create a single query with the formula query = avg_pos + avg_pos - avg_neg. Then performs normal search.
BestScore → const RecommendStrategy
Uses custom search objective. Each candidate is compared against all examples, its score is then chosen from the max(max_pos_score, max_neg_score). If the max_neg_score is chosen then it is squared and negated.
SumScores → const RecommendStrategy
Uses custom search objective. Compares against all inputs, sums all the scores. Scores against positive vectors are added, against negatives are subtracted.
values → const List<RecommendStrategy>