com.github.jelmerk:hnswlib-spark

Spark integrations

License	The Apache Software License, Version 2.0
GroupId	com.github.jelmerk
ArtifactId	hnswlib-spark
Last Version	0.0.17
Release Date	Aug 6, 2019
Type	jar
Description	Spark integrations

Download hnswlib-spark

Filename	Size
hnswlib-spark-0.0.17.pom
hnswlib-spark-0.0.17.jar	3 KB
hnswlib-spark-0.0.17-sources.jar	3 KB
hnswlib-spark-0.0.17-javadoc.jar	397 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.github.jelmerk/hnswlib-spark/ -->
<dependency>
    <groupId>com.github.jelmerk</groupId>
    <artifactId>hnswlib-spark</artifactId>
    <version>0.0.17</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.github.jelmerk/hnswlib-spark/
implementation 'com.github.jelmerk:hnswlib-spark:0.0.17'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.github.jelmerk/hnswlib-spark/
implementation ("com.github.jelmerk:hnswlib-spark:0.0.17")

Apache Buildr

'com.github.jelmerk:hnswlib-spark:jar:0.0.17'

Apache Ivy

<dependency org="com.github.jelmerk" name="hnswlib-spark" rev="0.0.17">
  <artifact name="hnswlib-spark" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.github.jelmerk', module='hnswlib-spark', version='0.0.17')
)

Scala SBT

libraryDependencies += "com.github.jelmerk" % "hnswlib-spark" % "0.0.17"

Leiningen

[com.github.jelmerk/hnswlib-spark "0.0.17"]

Dependencies

provided (1)

Group / Artifact	Type	Version
org.apache.spark : spark-mllib-local_2.11	jar	2.3.0

Project Modules

There are no modules declared in this project.

Hnswlib

Work in progress java implementation of the the Hierarchical Navigable Small World graphs (HNSW) algorithm for doing approximate nearest neighbour search.

The index is thread safe, serializable, supports adding items to the index incrementally and has experimental support for deletes.

It's flexible interface makes it easy to apply it to use it with any type of data and distance metric.

The following distance metrics are currently pre-packaged :

• bray curtis dissimilarity
• canberra distance
• correlation distance
• cosine distance
• euclidean distance
• inner product
• manhattan distance

It comes with spark integration, pyspark integration and a scala wrapper that should feel native to scala developers

To find out more about how to use this library take a look at the hnswlib-examples module or browse the documentation in the readme files of the submodules

Sponsors

YourKit is the creator of YourKit Java Profiler, YourKit .NET Profiler, and YourKit YouMonitor.

Versions

Version
0.0.17 Aug 6, 2019
0.0.16 Aug 4, 2019
0.0.15 Jul 28, 2019
0.0.14 Jul 19, 2019
0.0.13 Jul 19, 2019
0.0.12 Jul 17, 2019
0.0.11 Jul 9, 2019
0.0.10 Jun 30, 2019
0.0.9 Jun 17, 2019
0.0.8 Jun 15, 2019
0.0.7 Jun 14, 2019
0.0.6 Jun 13, 2019
0.0.5 Jun 11, 2019
0.0.4 Jun 11, 2019
0.0.3 Jun 11, 2019
0.0.2 Jun 9, 2019
0.0.1 Jun 8, 2019