Merge pull request #92411 from cartacioS/patch-20

Adding time-series learners

Author: PRMerger19

articles/machine-learning/service/how-to-configure-auto-train.md

@@ -51,8 +51,9 @@ Classification | Regression | Time Series Forecasting
 [Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)|[Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)| [Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)
 [DNN Classifier](https://www.tensorflow.org/api_docs/python/tf/estimator/DNNClassifier)|[DNN Regressor](https://www.tensorflow.org/api_docs/python/tf/estimator/DNNRegressor) | [DNN Regressor](https://www.tensorflow.org/api_docs/python/tf/estimator/DNNRegressor)|
 [DNN Linear Classifier](https://www.tensorflow.org/api_docs/python/tf/estimator/LinearClassifier)|[Linear Regressor](https://www.tensorflow.org/api_docs/python/tf/estimator/LinearRegressor)|[Linear Regressor](https://www.tensorflow.org/api_docs/python/tf/estimator/LinearRegressor)
-[Naive Bayes](https://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes)|
-[Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#sgd)|
+[Naive Bayes](https://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes)||[Auto-ARIMA](https://www.alkaline-ml.com/pmdarima/modules/generated/pmdarima.arima.auto_arima.html#pmdarima.arima.auto_arima)
+[Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#sgd)||[Prophet](https://facebook.github.io/prophet/docs/quick_start.html)
+|||ForecastTCN
 
 Use the `task` parameter in the `AutoMLConfig` constructor to specify your experiment type.