The Alteryx Predictive Tools installation includes many great tools. Yet there are still many more available to download from the Alteryx Analytics Gallery:
| Name | Description | Source | Sample | Support |
| Cognitive Services Text Analytics | Sentiment analysis, key phrase extraction, and language detection via the Microsoft Cognitive Services Text Analytics API. | Predictive District | MSFT Analytic Template | ✔ |
| Cross Validation | Cross validation for model comparison and evaluation. | Predictive District | Cross Validation Sample | ✔ |
| Importance Weights | Select a set of variables to use in a predictive model based on how strongly related each possible predictor is to the target variable. | Predictive District | | ✔ |
| Model Coefficients | Extract the model coefficients from a standard Alteryx Count, Gamma, Linear, or Logistic Regression model. This is a simple macro, and one of its purposes is to be used as a template by users to create their own macros to extract information from an R model object. | Predictive District | | ✔ |
| Model Comparison | Compare the performance of one or more different predictive models based on the use of a validation (or test) data set based on a training/test approach. | Predictive District | Model Comparison Sample | ✔ |
| Multidimensional Scaling | Generate a map between items based on the dissimilarities, or distances, between items. | Predictive District | Multidimensional Scaling Sample | ✔ |
| Output Model | Write to disk either a native R binary file or PMML file from an R model object. | Predictive District | | ✔ |
| Survival Analysis | Model the time until occurrence of an event (e.g., lapse of life insurance policy). | Predictive District | Survival Analysis Sample | ✔ |
| Survival Score | Produce the relative risk and restricted mean values based on a survival analysis model. | Predictive District | Survival Analysis Sample | ✔ |
| TS Forecast Factory | Provide forecasts from groups of either ARIMA or ETS models for a user-specified number of future periods. | Predictive District | TS Factory Sample | ✔ |
| TS Model Factory | Estimate time series forecasting models for multiple groups at once using the autoregressive moving average (ARIMA) method or the exponential smoothing (ETS) method. | Predictive District | TS Factory Sample | ✔ |
| Variance Inflation Factors | Produce a coefficient summary report that includes either the variance inflation factor (or VIF) or a generalized version of the VIF (GVIF) for all variables except the model intercept. | Predictive District | Variance Inflation Factors Sample | ✔ |
| K-Medoids | Clustering with the pam (partitioning around medoids) function of R's cluster package. One benefit of this method of clustering over what can be done with the K-Centroids tool is that clusters can be based on a distance or dissimilarity matrix produced from the MB Affinity tool. The combination of the MB Affinity and K-Medoids is one way to see how items "group together" (such as products in a shopping basket) in a way that is often very useful. | Laboratory District | K-Medoids Sample | |
| Partial Dependency | Create partial dependency plots, which visually shows the relationship between a predictor variable and the predicted value of the target variable, as a well as an assessment of each predictor's relative "impact" (the range of values over which the predictor can "move" the predicted value of the target). | Laboratory District | Partial Dependency Sample | |
Once you've downloaded the tool you need, you can add it to the Designer Tool Palette by following the Macro Installation instructions.
