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. 📈
- python
- calculate-statistics
- analytics
- constraints
- data-pipeline
- model-performance
- dataset
- machine-learning
- logging
- ml-pipelines
- data-science
- data-constraints
- mlops
- ai-pipelines
- approximate-statistics
- statistical-properties
- data-quality
- dataops
Scala versions:
2.12
whylogs-spark-bundle_3.4.2-scala 0.7.0
Group ID:
ai.whylabs
Artifact ID:
whylogs-spark-bundle_3.4.2-scala_2.12
Version:
0.7.0
Release Date:
Mar 27, 2024
Licenses:
Files:
Developers:
libraryDependencies += "ai.whylabs" %% "whylogs-spark-bundle_3.4.2-scala" % "0.7.0"
ivy"ai.whylabs::whylogs-spark-bundle_3.4.2-scala:0.7.0"
//> using dep "ai.whylabs::whylogs-spark-bundle_3.4.2-scala:0.7.0"
import $ivy.`ai.whylabs::whylogs-spark-bundle_3.4.2-scala:0.7.0`
<dependency> <groupId>ai.whylabs</groupId> <artifactId>whylogs-spark-bundle_3.4.2-scala_2.12</artifactId> <version>0.7.0</version> </dependency>
compile group: 'ai.whylabs', name: 'whylogs-spark-bundle_3.4.2-scala_2.12', version: '0.7.0'
