Profile and monitor your ML data pipeline end-to-end
- java
- data-quality
- aiops
- apache-spark
- ai-pipelines
- whylogs
- statistics
- calculate-statistics
- dataset
- approximate-statistics
- mlops
- statistical-properties
- spark
Scala versions:
2.12
whylogs-spark 0.1.1
Group ID:
ai.whylabs
Artifact ID:
whylogs-spark_2.11
Version:
0.1.1
Release Date:
Nov 1, 2020
Licenses:
Files:
Developers:
libraryDependencies += "ai.whylabs" %% "whylogs-spark" % "0.1.1"
ivy"ai.whylabs::whylogs-spark:0.1.1"
//> using dep "ai.whylabs::whylogs-spark:0.1.1"
import $ivy.`ai.whylabs::whylogs-spark:0.1.1`
<dependency> <groupId>ai.whylabs</groupId> <artifactId>whylogs-spark_2.11</artifactId> <version>0.1.1</version> </dependency>
compile group: 'ai.whylabs', name: 'whylogs-spark_2.11', version: '0.1.1'