An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
- dataset
- logging
- calculate-statistics
- mlops
- ai-pipelines
- model-performance
- python
- approximate-statistics
- machine-learning
- data-quality
- dataops
- ml-pipelines
- constraints
- data-science
- statistical-properties
- data-pipeline
- analytics
- data-constraints
Scala versions:
2.12
whylogs-java-spark_3.1.1-scala 0.1.7-b2
Group ID:
ai.whylabs
Artifact ID:
whylogs-java-spark_3.1.1-scala_2.12
Version:
0.1.7-b2
Release Date:
Jan 7, 2022
Licenses:
Files:
Developers:
libraryDependencies += "ai.whylabs" %% "whylogs-java-spark_3.1.1-scala" % "0.1.7-b2"
ivy"ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.7-b2"
//> using dep "ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.7-b2"
import $ivy.`ai.whylabs::whylogs-java-spark_3.1.1-scala:0.1.7-b2`
<dependency> <groupId>ai.whylabs</groupId> <artifactId>whylogs-java-spark_3.1.1-scala_2.12</artifactId> <version>0.1.7-b2</version> </dependency>
compile group: 'ai.whylabs', name: 'whylogs-java-spark_3.1.1-scala_2.12', version: '0.1.7-b2'