Merge pull request #177262 from nibaccam/install-edit

AutoML | Update links for algos

Author: PRMerger7

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

@@ -179,23 +179,23 @@ The following table summarizes the supported models by task type.
 
 Classification | Regression | Time Series Forecasting
 |-- |-- |--
-[Logistic Regression](https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression)* | [Elastic Net](https://scikit-learn.org/stable/modules/linear_model.html#elastic-net)* | [AutoARIMA](https://www.alkaline-ml.com/pmdarima/modules/generated/pmdarima.arima.auto_arima.html#pmdarima.arima.auto_arima)
-[Light GBM](https://lightgbm.readthedocs.io/en/latest/index.html)* | [Light GBM](https://lightgbm.readthedocs.io/en/latest/index.html)* | [Prophet](https://facebook.github.io/prophet/docs/quick_start.html)
-[Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#classification)* | [Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#regression)* | [Elastic Net](https://scikit-learn.org/stable/modules/linear_model.html#elastic-net)
-[Decision Tree](https://scikit-learn.org/stable/modules/tree.html#decision-trees)* |[Decision Tree](https://scikit-learn.org/stable/modules/tree.html#regression)* |[Light GBM](https://lightgbm.readthedocs.io/en/latest/index.html)
-[K Nearest Neighbors](https://scikit-learn.org/stable/modules/neighbors.html#nearest-neighbors-regression)* |[K Nearest Neighbors](https://scikit-learn.org/stable/modules/neighbors.html#nearest-neighbors-regression)* | [Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#regression)
-[Linear SVC](https://scikit-learn.org/stable/modules/svm.html#classification)* |[LARS Lasso](https://scikit-learn.org/stable/modules/linear_model.html#lars-lasso)* | [Decision Tree](https://scikit-learn.org/stable/modules/tree.html#regression)
-[Support Vector Classification (SVC)](https://scikit-learn.org/stable/modules/svm.html#classification)* |[Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#regression)* | Arimax
-[Random Forest](https://scikit-learn.org/stable/modules/ensemble.html#random-forests)* | [Random Forest](https://scikit-learn.org/stable/modules/ensemble.html#random-forests) | [LARS Lasso](https://scikit-learn.org/stable/modules/linear_model.html#lars-lasso)
+[Logistic Regression](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#logisticregression----logisticregression-)* | [Elastic Net](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#elasticnet----elasticnet-)* | [AutoARIMA](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.forecasting#autoarima----autoarima-)
+[Light GBM](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#lightgbmclassifier----lightgbm-)* | [Light GBM](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#lightgbmregressor----lightgbm-)* | [Prophet](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#prophet----prophet-)
+[Gradient Boosting](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#gradientboosting----gradientboosting-)* | [Gradient Boosting](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#gradientboostingregressor----gradientboosting-)* | [Elastic Net](https://scikit-learn.org/stable/modules/linear_model.html#elastic-net)
+[Decision Tree](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#decisiontree----decisiontree-)* |[Decision Tree](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#decisiontreeregressor----decisiontree-)* |[Light GBM](https://lightgbm.readthedocs.io/en/latest/index.html)
+[K Nearest Neighbors](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#knearestneighborsclassifier----knn-)* |[K Nearest Neighbors](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#knearestneighborsregressor----knn-)* | [Gradient Boosting](https://scikit-learn.org/stable/modules/ensemble.html#regression)
+[Linear SVC](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#linearsupportvectormachine----linearsvm-)* |[LARS Lasso](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#lassolars----lassolars-)* | [Decision Tree](https://scikit-learn.org/stable/modules/tree.html#regression)
+[Support Vector Classification (SVC)](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#supportvectormachine----svm-)* |[Stochastic Gradient Descent (SGD)](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#sgdregressor----sgd-)* | [Arimax](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#arimax----arimax-)
+[Random Forest](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#randomforest----randomforest-)* | [Random Forest](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#randomforestregressor----randomforest-) | [LARS Lasso](https://scikit-learn.org/stable/modules/linear_model.html#lars-lasso)
 [Extremely Randomized Trees](https://scikit-learn.org/stable/modules/ensemble.html#extremely-randomized-trees)* | [Extremely Randomized Trees](https://scikit-learn.org/stable/modules/ensemble.html#extremely-randomized-trees)* | [Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#regression)
-[Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)* |[Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)* | [Random Forest](https://scikit-learn.org/stable/modules/ensemble.html#random-forests)
-[Averaged Perceptron Classifier](/python/api/nimbusml/nimbusml.linear_model.averagedperceptronbinaryclassifier?preserve-view=true&view=nimbusml-py-latest)| [Online Gradient Descent Regressor](/python/api/nimbusml/nimbusml.linear_model.onlinegradientdescentregressor?preserve-view=true&view=nimbusml-py-latest) | [Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)
-[Naive Bayes](https://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes)* |[Fast Linear Regressor](/python/api/nimbusml/nimbusml.linear_model.fastlinearregressor?preserve-view=true&view=nimbusml-py-latest)| ForecastTCN
-[Stochastic Gradient Descent (SGD)](https://scikit-learn.org/stable/modules/sgd.html#sgd)* || Naive
+[Xgboost](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#xgboostclassifier----xgboostclassifier-)* |[Xgboost](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#xgboostregressor----xgboostregressor-)* | [Random Forest](https://scikit-learn.org/stable/modules/ensemble.html#random-forests)
+[Averaged Perceptron Classifier](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#averagedperceptronclassifier----averagedperceptronclassifier-)| [Online Gradient Descent Regressor](/python/api/nimbusml/nimbusml.linear_model.onlinegradientdescentregressor?preserve-view=true&view=nimbusml-py-latest) | [Xgboost](https://xgboost.readthedocs.io/en/latest/parameter.html)
+[Naive Bayes](https://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes)* |[Fast Linear Regressor](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.regression#fastlinearregressor----fastlinearregressor-)| [ForecastTCN](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#tcnforecaster----tcnforecaster-)
+[Stochastic Gradient Descent (SGD)](/python/api/azureml-train-automl-client/azureml.train.automl.constants.supportedmodels.classification#sgdclassifier----sgd-)* || Naive
 [Linear SVM Classifier](/python/api/nimbusml/nimbusml.linear_model.linearsvmbinaryclassifier?preserve-view=true&view=nimbusml-py-latest)* || SeasonalNaive
 ||| Average
 ||| SeasonalAverage
-||| [ExponentialSmoothing](https://www.statsmodels.org/v0.10.2/generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.html)
+||| [ExponentialSmoothing](/python/api/azureml-automl-core/azureml.automl.core.shared.constants.supportedmodels.forecasting#exponentialsmoothing----exponentialsmoothing-)
 
 ### Primary metric