RecommendStrategy class
How to use positive and negative vectors to find the results, default is AverageVector.
- Inheritance
-
- Object
- ProtobufEnum
- RecommendStrategy
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 themax_neg_scoreis 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>