|
gptkbp:instanceOf
|
gptkb:open-source_platform
|
|
gptkbp:citation
|
gptkb:Zaharia_et_al.,_'Accelerating_the_Machine_Learning_Lifecycle_with_MLflow',_Data_Science_and_Engineering,_2020
|
|
gptkbp:commandLineTool
|
mlflow
|
|
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
|
gptkb:model
model deployment
experiment tracking
project packaging
|
|
gptkbp:integratesWith
|
gptkb:Amazon_SageMaker
gptkb:LightGBM
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Keras
gptkb:Spark_MLlib
gptkb:PyTorch
gptkb:scikit-learn
gptkb:Azure_ML
gptkb:Google_Cloud_AI_Platform
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:pipInstall
|
mlflow
|
|
gptkbp:programmingLanguage
|
gptkb:Java
gptkb:Python
gptkb:Scala
R
|
|
gptkbp:releaseDate
|
2018
|
|
gptkbp:repository
|
https://github.com/mlflow/mlflow
|
|
gptkbp:supports
|
cloud execution
local execution
|
|
gptkbp:usedFor
|
machine learning lifecycle management
|
|
gptkbp:website
|
https://mlflow.org/
|
|
gptkbp:bfsParent
|
gptkb:Ali_Ghodsi
gptkb:Databricks_AutoML
gptkb:Databricks_Lakehouse_Platform
gptkb:Databricks_Machine_Learning
gptkb:Databricks_Runtime
gptkb:Matei_Zaharia
|
|
gptkbp:bfsLayer
|
6
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MLflow
|