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. 📈
- ml-pipelines
- data-pipeline
- dataset
- analytics
- dataops
- machine-learning
- logging
- mlops
- data-constraints
- data-science
- data-quality
- statistical-properties
- ai-pipelines
- approximate-statistics
- model-performance
- constraints
- python
- calculate-statistics
Scala versions:
2.12
whylogs-spark-bundle_3.4.2 0.7.0-a6
Group ID:
ai.whylabs
Artifact ID:
whylogs-spark-bundle_3.4.2_2.12
Version:
0.7.0-a6
Release Date:
Mar 29, 2024
Licenses:
Files:
Developers:
libraryDependencies += "ai.whylabs" %% "whylogs-spark-bundle_3.4.2" % "0.7.0-a6"
ivy"ai.whylabs::whylogs-spark-bundle_3.4.2:0.7.0-a6"
//> using dep "ai.whylabs::whylogs-spark-bundle_3.4.2:0.7.0-a6"
import $ivy.`ai.whylabs::whylogs-spark-bundle_3.4.2:0.7.0-a6`
<dependency> <groupId>ai.whylabs</groupId> <artifactId>whylogs-spark-bundle_3.4.2_2.12</artifactId> <version>0.7.0-a6</version> </dependency>
compile group: 'ai.whylabs', name: 'whylogs-spark-bundle_3.4.2_2.12', version: '0.7.0-a6'
