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QuantilesCallback sorts splits to categories
(Buckets) based on time ranges.
See:
Description
| Class Summary | |
|---|---|
| AutoQuantilesCallback | Callback which stores data in buckets to compute quantiles. |
| Bucket | Bucket count the number of samples in the range min-max. |
| Buckets | List of buckets and quantiles computer. |
| BucketSample | Bucket sample. |
| BucketsSample | Snapshot of Buckets |
| ExponentialBuckets | Exponentially organized Buckets. |
| FixedQuantilesCallback | Callback which stores data in buckets to compute quantiles. |
| LinearBuckets | Linearly organized Buckets
For 100-600 range and 5 bucket count, the following buckets are created:
Index
MinMax
Samples
Counter
0
-∞100
53
# (1)
1
100200
128,136
## (2)
2
200300
245,231,264,287,275
###### (5)
3
300400
356,341
## (2)
4
400500
461
# (1)
5
500600
801
# (1)
6
600+∞
(0)
For a total of 12 splits in this example, we can deduce that
Median (6th sample) is in bucket #2
Third quartile (9th sample) is in bucket #3
90% percentile (10,8th sample) is in bucket #4 or #5 (but assume #4). |
| PropertiesQuantilesCallback | Callback which stores data in buckets to compute quantiles. |
| QuantilesCallback | Callback which stores data in buckets to compute quantiles. |
| Enum Summary | |
|---|---|
| BucketsType | Enumeration of buckets types, used for configuration purposes |
QuantilesCallback sorts splits to categories
(Buckets) based on time ranges. This can be used to
compute quantile approximations or to draw distribution charts.
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