The Microsoft Sequence Clustering algorithm is a combination of sequence analysis and clustering, which identifies clusters of similarly ordered events in a sequence. The clusters can be used to predict the likely ordering of events in a sequence based on known characteristics.
The Microsoft Linear Regression algorithm is a regression algorithm that works well for regression modeling. This algorithm ...
The Microsoft Logistic Regression algorithm is a regression algorithm that works well for regression modeling. This algorithm ...
The Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build, and works well for predictive modeling. ...
The Microsoft Neural Network algorithm uses a gradient method to optimize parameters of multilayer networks to predict multiple ...
The Microsoft Sequence Clustering algorithm is a combination of sequence analysis and clustering, which identifies clusters ...
The Microsoft Time Series algorithm uses a combination of ARIMA analysis and linear regression based on decision trees to ...
The MINIMUM_ITEMSET_SIZE parameter for the '%{modelname/}' model is not valid. MINIMUM_ITEMSET_SIZE must be between 1 and ...
The MINIMUM_PROBABILITY parameter for the '%{modelname/}' model is not valid. MINIMUM_PROBABILITY must be between 0 and 1. ...
The MINIMUM_SUPPORT parameter for the '%{modelname/}' model is not valid. MINIMUM_SUPPORT must be greater than or equal to ...