Without this, far-off samples are considered too important
leading to wrong integration.
This should fix the symptom of secondary stats being too different.
Change-Id: I66496ac25da95eae1f83154f32eb56f941cb20ce
Signed-off-by: Vratko Polak <vrpolak@cisco.com>
-# Copyright (c) 2021 Cisco and/or its affiliates.
+# Copyright (c) 2022 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
)
# The code above looked at weight (not importance).
# The code below looks at importance (not weight).
)
# The code above looked at weight (not importance).
# The code below looks at importance (not weight).
- log_rarity = param_distance / 2.0
+ log_rarity = param_distance / 2.0 / scale_coeff
trace(u"log_rarity", log_rarity)
log_importance = log_weight + log_rarity
trace(u"log_importance", log_importance)
trace(u"log_rarity", log_rarity)
log_importance = log_weight + log_rarity
trace(u"log_importance", log_importance)