SupportedModels 类

定义 Azure 机器学习支持的自动化机器学习算法的友好名称。

如果计划将自动化 ML 创建的模型导出为 ONNX 模型https://docs.microsoft.com/azure/machine-learning/concept-onnx，只有标有 * 的算法才能转换为 ONNX 格式。 详细了解如何将模型转换为 ONNX<https://docs.microsoft.com/azure/machine-learning/concept-automated-ml#automl–onnx>。

Classification | ————————————| Logistic Regression* | Light GBM* | Gradient Boosting* | Decision Tree* | K Nearest Neighbors* | Linear SVC | Support Vector Classification (SVC)| Random Forest | Extremely Randomized Trees* | Xgboost* | Averaged Perceptron Classifier | Naive* Bayes | Stochastic Gradient Descent (SGD)* | Linear SVM Classifier* | Tabnet Classifier |

Regression | ———————————– | Elastic Net* | Light GBM* | Gradient Boosting* | Decision Tree* | K Nearest Neighbors* | LARS Lasso* | Stochastic Gradient Descent (SGD) | Random Forest* | Extremely Randomized Trees* | Xgboost* | Online Gradient Descent Regressor | Fast Linear Regressor | Tabnet Regressor |

Time Series Forecasting | ———————————– | Elastic Net | Light GBM | Gradient Boosting | Decision Tree | K Nearest Neighbors | LARS Lasso | Stochastic Gradient Descent (SGD) | Random Forest | Extremely Randomized Trees | Xgboost | Auto-ARIMA | Prophet | ForecastTCN |

继承

builtins.object

SupportedModels

构造函数

SupportedModels()