Multi-label classification is improved by determining thresholds and/or scale factors. Selecting thresholds for multi-label classification includes sorting a set of label scores associated with a first label to create an ordered list. Precision and recall values are calculated corresponding to a set of candidate thresholds from score values. The threshold is selected from the candidate thresholds for the first label based on target precision values or recall values. A scale factor is also selected for an activation function for multi-label classification where a metric of scores within a range is calculated. The scale factor is adjusted when the metric of scores are not within the range.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of selecting thresholds for multi-label classification, comprising: sorting a set of label scores associated with a first label to create an ordered list; calculating precision values and recall values corresponding to a set of candidate thresholds, from a plurality of score values; and selecting a threshold from the candidate thresholds for the first label based at least in part on a target precision value or a target recall value. 2. The method of claim 1, in which the threshold is based at least in part on a value corresponding to a maximum F-score when either: there are no values for which a precision value is above the target precision value or the recall value is above the target recall value, or the precision value is too low when the target recall value is met or the recall value is too low when the target precision value is met. 3. The method of claim 2, in which the selecting is based at least in part on an F-score using a beta value that leans towards precision or recall. 4. A method of selecting a scale factor for an activation function for multi-label classification, comprising: calculating a metric of scores within a range; and adjusting the scale factor when the metric of scores are not within the range. 5. The method of claim 4, in which the activation function comprises a logistic function, tan-h function, or a linear normalization function. 6. The method of claim 4, in which the metric of scores comprises a percentage. 7. The method of claim 4, in which the metric of scores comprises a slope. 8. The method of claim 4, in which adjusting the scale factor comprises one of: incrementing the scale factor by a value; and dividing by two a difference between a minimum scale factor and a maximum scale factor. 9. An apparatus for selecting thresholds for multi-label classification in wireless communication, comprising: a memory; and at least one processor coupled to the memory, the at least one processor configured: to sort a set of label scores associated with a first label to create an ordered list; to calculate precision values and recall values corresponding to a set of candidate thresholds, from a plurality of score values; and to select a threshold from the candidate thresholds for the first label based at least in part on a target precision value or a target recall value. 10. The apparatus of claim 9, in which the threshold is based at least in part on a value corresponding to a maximum F-score when either: there are no values for which a precision value is above the target precision value or the recall value is above the target recall value, or the precision value is too low when the target recall value is met or the recall value is too low when the target precision value is met. 11. The apparatus of claim 10, in which the at least one processor is configured to select based at least in part on an F-score using a beta value that leans towards precision or recall. 12. An apparatus for selecting a scale factor for an activation function in wireless communication, comprising: a memory; and at least one processor coupled to the memory, the at least one processor being configured: to calculate a metric of scores within a range; and to adjust the scale factor when the metric of scores are not within the range. 13. The apparatus of claim 12, in which the activation function comprises a logistic function, tan-h function, or a linear normalization function. 14. The apparatus of claim 12, in which the metric of scores comprises a percentage. 15. The apparatus of claim 12, in which the metric of scores comprises a slope. 16. The apparatus of claim 12, in which the at least one processor is configured to adjust the scale factor comprises by at least one of: incrementing the scale factor by a value; and dividing by two a difference between a minimum scale factor and a maximum scale factor. 17. A non-transitory computer-readable medium for selecting thresholds for multi-label classification, the non-transitory computer-readable medium having non-transitory program code recorded thereon, the program code comprising: program code to sort a set of label scores associated with a first label to create an ordered list; program code to calculate precision values and recall values corresponding to a set of candidate thresholds, from a plurality of score values; and program code to select a threshold from the candidate thresholds for the first label based at least in part on a target precision value or a target recall value. 18. The non-transitory computer-readable medium of claim 17, in which the threshold is based at least in part on a value corresponding to a maximum F-score when either there are no values for which a precision value is above the target precision value or the recall value is above the target recall value, or the precision value is too low when the target recall value is met or the recall value is too low when the target precision value is met. 19. The non-transitory computer-readable medium of claim 18, in which the program code is configured to select based at least in part on an F-score using a beta value that leans towards precision or recall. 20. A non-transitory computer-readable medium for selecting a scale factor for an activation function, the non-transitory computer-readable medium having non-transitory program code recorded thereon, the program code comprising: program code to calculate a metric of scores within a range; and program code to adjust the scale factor when the metric of scores are not within the range. 21. The non-transitory computer-readable medium of claim 20, in which the activation function comprises a logistic function, tan-h function, or a linear normalization function. 22. The non-transitory computer-readable medium of claim 20, in which the metric of scores comprises a percentage. 23. The non-transitory computer-readable medium of claim 20, in which the metric of scores comprises a slope. 24. The non-transitory computer-readable medium of claim 20, in which the program code is configured to adjust the scale factor by at least one of: incrementing the scale factor by a value; and dividing by two a difference between a minimum scale factor and a maximum scale factor. 25. An apparatus for selecting thresholds for multi-label classification in wireless communication, comprising: means for sorting a set of label scores associated with a first label to create an ordered list; means for calculating precision values and recall values corresponding to a set of candidate thresholds, from a plurality of score values; and means for selecting a threshold from the candidate thresholds for the first label based at least in part on a target precision value or a target recall value. 26. The apparatus of claim 25, in which the threshold is based at least in part on a value corresponding to a maximum F-score when either there are no values for which a precision value is above the target precision value or the recall value is above the target recall value, or the precision value is too low when the target recall value is met or the recall value is too low when the target precision value is met. 27. The apparatus of claim 26, in which the means for selecting is based at least in part on an F-score using a beta value that leans towards precision or recall. 28. A apparatus of selecting a scale factor for an activation function for multi-label classification in wireless communication, comprising: means for calculating a metric of scores within a range; and means for adjusting the scale factor when the metric of scores are not within the range. 29. The apparatus of claim 28, in which the activation function comprises a logistic function, tan-h function, or a linear normalization function. 30. The apparatus of claim 28, in which the metric of scores comprises a percentage. 31. The apparatus of claim 28, in which the metric of scores comprises a slope. 32. The apparatus of claim 28, in which the means for adjusting the scale factor comprises one of: means for incrementing the scale factor by a value; and means for dividing by two a difference between a minimum scale factor and a maximum scale factor.