Statements (44)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
automated machine learning platform
|
| gptkbp:accessibleBy |
gptkb:Python_SDK
gptkb:REST_API gptkb:Azure_Machine_Learning_Studio |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:documentation |
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
|
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure AutoML
|
| gptkbp:integratesWith |
gptkb:Azure_Data_Lake
gptkb:Azure_Databricks gptkb:Azure_Blob_Storage gptkb:Azure_DevOps |
| gptkbp:offers |
hyperparameter tuning
automated feature engineering automated model selection |
| gptkbp:partOf |
gptkb:Microsoft_Azure
|
| gptkbp:provides |
model deployment
model interpretability model management explanations for predictions |
| gptkbp:supports |
gptkb:dictionary
gptkb:TensorFlow gptkb:PyTorch gptkb:scikit-learn gptkb:ONNX deep learning regression cross-validation data preprocessing ensemble learning time series forecasting data splitting pipeline automation automated data drift detection cloud compute targets custom featurization local compute targets remote compute targets |
| gptkbp:usedFor |
data science
business intelligence predictive analytics machine learning operations (MLOps) |
| gptkbp:bfsParent |
gptkb:AutoML
gptkb:Automated_Machine_Learning |
| gptkbp:bfsLayer |
6
|