|
gptkbp:instanceOf
|
gptkb:open-source_platform
|
|
gptkbp:category
|
gptkb:MLOps
gptkb:machine_learning
gptkb:software
data science
|
|
gptkbp:cloudBased
|
gptkb:Google_Cloud_Platform
gptkb:AWS
gptkb:Azure
|
|
gptkbp:component
|
gptkb:MLflow_Models
gptkb:MLflow_Projects
gptkb:MLflow_Registry
gptkb:MLflow_Tracking
|
|
gptkbp:developedBy
|
gptkb:Databricks
|
|
gptkbp:documentation
|
https://mlflow.org/docs/latest/index.html
|
|
gptkbp:feature
|
model deployment
experiment tracking
model management
project packaging
|
|
gptkbp:firstReleased
|
2018
|
|
gptkbp:integratesWith
|
gptkb:Amazon_SageMaker
gptkb:H2O.ai
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Keras
gptkb:Apache_Spark
gptkb:PyTorch
gptkb:scikit-learn
gptkb:Azure_ML
gptkb:Google_Cloud_AI_Platform
|
|
gptkbp:latestReleaseVersion
|
2.10.2
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:platform
|
cross-platform
|
|
gptkbp:programmingLanguage
|
gptkb:Java
gptkb:Python
gptkb:Scala
R
|
|
gptkbp:repository
|
https://github.com/mlflow/mlflow
|
|
gptkbp:supports
|
machine learning lifecycle
|
|
gptkbp:usedFor
|
gptkb:collaboration
gptkb:model
model deployment
reproducibility
tracking experiments
|
|
gptkbp:website
|
https://mlflow.org/
|
|
gptkbp:bfsParent
|
gptkb:Databricks_Partner_Connect
|
|
gptkbp:bfsLayer
|
6
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
DataBricks MLflow
|