License |
License |
---|---|
GroupId | GroupIdtech.mlsql |
ArtifactId | ArtifactIdstreamingpro-mlsql-spark_3.0_2.12 |
Last Version | Last Version2.1.0 |
Release Date | Release Date |
Type | Typejar |
Description |
DescriptionWith MLSQL,you can unify big data and machine learning,one language, one platform.
|
<!-- https://jarcasting.com/artifacts/tech.mlsql/streamingpro-mlsql-spark_3.0_2.12/ -->
<dependency>
<groupId>tech.mlsql</groupId>
<artifactId>streamingpro-mlsql-spark_3.0_2.12</artifactId>
<version>2.1.0</version>
</dependency>
// https://jarcasting.com/artifacts/tech.mlsql/streamingpro-mlsql-spark_3.0_2.12/
implementation 'tech.mlsql:streamingpro-mlsql-spark_3.0_2.12:2.1.0'
// https://jarcasting.com/artifacts/tech.mlsql/streamingpro-mlsql-spark_3.0_2.12/
implementation ("tech.mlsql:streamingpro-mlsql-spark_3.0_2.12:2.1.0")
'tech.mlsql:streamingpro-mlsql-spark_3.0_2.12:jar:2.1.0'
<dependency org="tech.mlsql" name="streamingpro-mlsql-spark_3.0_2.12" rev="2.1.0">
<artifact name="streamingpro-mlsql-spark_3.0_2.12" type="jar" />
</dependency>
@Grapes(
@Grab(group='tech.mlsql', module='streamingpro-mlsql-spark_3.0_2.12', version='2.1.0')
)
libraryDependencies += "tech.mlsql" % "streamingpro-mlsql-spark_3.0_2.12" % "2.1.0"
[tech.mlsql/streamingpro-mlsql-spark_3.0_2.12 "2.1.0"]
Group / Artifact | Type | Version |
---|---|---|
org.apache.spark : spark-streaming_2.12 | jar | 3.1.1 |
org.apache.spark : spark-hive_2.12 | jar | 3.1.1 |
org.apache.spark : spark-sql_2.12 | jar | 3.1.1 |
org.apache.spark : spark-core_2.12 | jar | 3.1.1 |
org.apache.spark : spark-mllib_2.12 | jar | 3.1.1 |
org.apache.spark : spark-graphx_2.12 | jar | 3.1.1 |
org.apache.spark : spark-catalyst_2.12 | jar | 3.1.1 |
org.apache.hadoop : hadoop-client | jar | 2.6.5 |
org.scala-lang : scala-library | jar | 2.12.10 |
org.scala-lang : scala-reflect | jar | 2.12.10 |
Group / Artifact | Type | Version |
---|---|---|
org.scalactic : scalactic_2.12 | jar | 3.0.0 |
org.scalatest : scalatest_2.12 | jar | 3.0.0 |
org.pegdown : pegdown | jar | 1.6.0 |