Profile and monitor your ML data pipeline end-to-end
- calculate-statistics
- spark
- aiops
- apache-spark
- data-quality
- mlops
- ai-pipelines
- approximate-statistics
- statistical-properties
- whylogs
- java
- dataset
- statistics
Scala versions:
2.12
whylogs-java-spark_3.1.1-scala 0.1.2-b6
Group ID:
ai.whylabs
Artifact ID:
whylogs-java-spark_3.1.1-scala_2.12
Version:
0.1.2-b6
Release Date:
Apr 5, 2021
Licenses:
Files:
Developers:
libraryDependencies += "ai.whylabs" %% "whylogs-java-spark_3.1.1-scala" % "0.1.2-b6"
ivy"ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.2-b6"
//> using dep "ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.2-b6"
import $ivy.`ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.2-b6`
<dependency> <groupId>ai.whylabs</groupId> <artifactId>whylogs-java-spark_3.1.1-scala_2.12</artifactId> <version>0.1.2-b6</version> </dependency>
compile group: 'ai.whylabs', name: 'whylogs-java-spark_3.1.1-scala_2.12', version: '0.1.2-b6'
Documentation
4 Dependencies
-
1.7.27
-
ai.whylabs:whylogs-java-core runtime0.1.2-b6
-
org.apache.spark::spark-core runtime3.1.1
-
org.apache.spark::spark-sql runtime3.1.1