Library

Module

Module type

Parameter

Class

Class type

Legend:

Library

Module

Module type

Parameter

Class

Class type

Library

Module

Module type

Parameter

Class

Class type

`delta`

is the compression factor, the max fraction of mass that can be owned by one centroid (bigger, up to 1.0, means more compression). `~delta:Discrete`

switches off TDigest behavior and treats the distribution as discrete, with no merging and exact values reported.

`k`

is a size threshold that triggers recompression as the TDigest grows during input. `~k:Manual`

disables automatic recompression.

`cx`

(default: `1.1`

) specifies how often to update cached cumulative totals used for quantile estimation during ingest. This is a tradeoff between performance and accuracy. `~cx:Always`

will recompute cumulatives on every new datapoint, but the performance drops by 15-25x or even more depending on the size of the dataset.

`count`

: sum of all `n`

`size`

: size of the internal B-Tree. Calling `Tdigest.compress`

will usually reduce this size.

`cumulates_count`

: number of cumulate operations over the life of this Tdigest instance.

`compress_count`

: number of compression operations over the life of this Tdigest instance.

`auto_cumulates_count`

: number of compression operations over the life of this Tdigest instance that were not triggered by a manual call to `Tdigest.compress`

.

`Tdigest.create ?delta ?k ?cx ()`

Allocate an empty Tdigest instance.

`delta`

(default: `0.01`

) is the compression factor, the max fraction of mass that can be owned by one centroid (bigger, up to 1.0, means more compression). `~delta:Discrete`

switches off TDigest behavior and treats the distribution as discrete, with no merging and exact values reported.

`k`

(default: `25`

) is a size threshold that triggers recompression as the TDigest grows during input. `~k:Manual`

disables automatic recompression.

`cx`

(default: `1.1`

) specifies how often to update cached cumulative totals used for quantile estimation during ingest. This is a tradeoff between performance and accuracy. `~cx:Always`

will recompute cumulatives on every new datapoint, but the performance drops by 15-25x or even more depending on the size of the dataset.

`Tdigest.info td`

returns a record with these fields:

`count`

: sum of all `n`

`size`

: size of the internal B-Tree. Calling `Tdigest.compress`

will usually reduce this size.

`cumulates_count`

: number of cumulate operations over the life of this Tdigest instance.

`compress_count`

: number of compression operations over the life of this Tdigest instance.

`auto_cumulates_count`

: number of compression operations over the life of this Tdigest instance that were not triggered by a manual call to `Tdigest.compress`

.

`Tdigest.add ?n ~data td`

Incorporate a value (`data`

) having count `n`

(default: `1`

) into a new Tdigest.

`Tdigest.add_list ?n ll td`

Incorporate a list of values each having count `n`

(default: `1`

) into a new Tdigest.

`Tdigest.p_rank td q`

For a value `q`

estimate the percentage (`0..1`

) of values `<= q`

.

Returns a new Tdigest to reuse intermediate computations.

Same as `Tdigest.p_rank`

but for a list of values.

Returns a new Tdigest to reuse intermediate computations.

`Tdigest.percentile td p`

For a percentage `p`

(`0..1`

) estimate the smallest value `q`

at which at least `p`

percent of the values `<= q`

.

For discrete distributions, this selects q using the Nearest Rank Method `https://en.wikipedia.org/wiki/Percentile#The_Nearest_Rank_method`

For continuous distributions, interpolates data values between count-weighted bracketing means.

Returns a new Tdigest to reuse intermediate computations.

Same as `Tdigest.percentile`

but for a list of values.

Returns a new Tdigest to reuse intermediate computations.

`Tdigest.compress ?delta td`

Manual recompression. Not guaranteed to reduce size further if too few values have been added since the last compression.

`delta`

(default: initial value passed to `Tdigest.create`

) The compression level to use for this operation only. This does not alter the `delta`

used by the Tdigest going forward.

`Tdigest.to_string td`

Serialize the internal state into a binary string that can be stored or concatenated with other such binary strings.

Use `Tdigest.of_string`

to create a new Tdigest instance from it.

Returns a new Tdigest to reuse intermediate computations.

`Tdigest.of_string ?delta ?k ?cx str`

See `Tdigest.create`

for the meaning of the optional parameters.

Allocate a new Tdigest from a string or concatenation of strings originally created by `Tdigest.to_string`

.

`module Testing : sig ... end`

For internal use

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