|
gptkbp:instanceOf
|
machine learning model management framework
|
|
gptkbp:builtInFlavors
|
gptkb:CatBoost
gptkb:LightGBM
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Gluon
gptkb:PaddlePaddle
gptkb:prophecy
gptkb:H2O
gptkb:Keras
gptkb:Spark_MLlib
gptkb:PyTorch
gptkb:scikit-learn
gptkb:ONNX
gptkb:Fastai
gptkb:PyFunc
gptkb:Statsmodels
|
|
gptkbp:canBeDeployedOn
|
gptkb:Databricks
gptkb:cloud_service
gptkb:Docker
gptkb:Kubernetes
gptkb:Azure_ML
gptkb:SageMaker
local
|
|
gptkbp:developedBy
|
gptkb:Databricks
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MLflow models
|
|
gptkbp:license
|
Apache 2.0
|
|
gptkbp:openSource
|
true
|
|
gptkbp:partOf
|
gptkb:MLflow
|
|
gptkbp:supports
|
gptkb:Java
gptkb:Python
gptkb:REST_API
gptkb:model
R
model deployment
model validation
model versioning
model explainability
model packaging
model serving
built-in flavors
custom flavors
input/output schema
model artifacts
model metadata
model signature
multiple ML frameworks
|
|
gptkbp:usedFor
|
machine learning lifecycle management
|
|
gptkbp:bfsParent
|
gptkb:Databricks_Model_Serving
|
|
gptkbp:bfsLayer
|
6
|