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commit b9d1360b032a05bc0b21a19b50c43e91a9fa2a63
Author: AlexanderSaydakov <[email protected]>
AuthorDate: Mon Oct 28 18:35:32 2024 -0700

    tdigest overview
---
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diff --git a/docs/tdigest/tdigest.md b/docs/tdigest/tdigest.md
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+---
+layout: doc_page
+---
+<!--
+    Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you 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
+
+      http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+-->
+# t-digest overview
+
+This is an algorithm and data structure for estimating ranks and quantiles of 
distributions of numerical values.
+
+The implementation in this library is based on the MergingDigest in following 
[reference implementation](https://github.com/tdunning/t-digest).
+
+The implementation in this library has a few differences from the reference 
implementation:
+
+* merge does not modify the input
+* different serialization similar to other sketches in this library, reading 
the reference implementation format is supported
+* C++ template implementation for float and double types
+
+Unlike all other algorithms in the library, t-digest is empirical and has no 
mathematical basis for estimating its error and its results are dependent on 
the input data. However, for many common data distributions, it can produce 
excellent results.
+
+The library contains a few different quantile sketches for estimating 
distributions (ranks and quantiles). All other quantile skeches can handle 
arbitrary comparable types and always retain a small set of items from the 
input stream. All queries that return approximations in the input domain return 
one of the retained items from the input. t-digest is different: it works on 
numeric data only (floating point types), retains and returns values not 
necessarilly seen in the input (interpolated).
+
+The closest alternative to t-digest in this library is [REQ 
sketch](https://datasketches.apache.org/docs/REQ/ReqSketch.html). It 
prioritizes one chosen side of the rank domain: either low rank accuracy or 
high rank accuracy. t-digest (in this implementation) prioritizes both ends of 
the rank domain and has lower accuracy towards the middle of the rank domain 
(median).
+
+The more input values t-digest observes the more it tends to be biased (tends 
to underestimate low ranks and overestimate high ranks):
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_err_vs_rank_k100_n2e10.png" 
alt="ErrorVsRank2e10" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_err_vs_rank_k100_n2e15.png" 
alt="ErrorVsRank2e15" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_err_vs_rank_k100_n2e20.png" 
alt="ErrorVsRank2e20" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_err_vs_rank_k100_n2e25.png" 
alt="ErrorVsRank2e25" />
+
+Rank error vs stream size:
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_rank_error_k100.png" 
alt="RankErrorK100" />
+
+Comparisons with REQ sketch:
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_vs_req_memory.png" 
alt="TDigestVsReqMemory" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tgigest_vs_req_serialized_size.png" 
alt="TDigestVsReqSeializedSize" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_vs_req_rank_error_0.99.png" 
alt="TDigestVsReq0.99" />
+
+<img class="doc-img-full" 
src="{{site.docs_img_dir}}/tdigest/tdigest_vs_req_hra_exp_1.5.png" 
alt="TDigestVsReqHRAexp1.5" />
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