Machine Learning

The Machine Learning category includes modeling tools for both classification and regression. The Machine Learning tools are based on ayx-learn, which is built on Scikit-learn.

Code-free tools

Assisted Modeling

The Assisted Modeling tool simplifies the model-building process. With Assisted Modeling, you're guided through the process of building and evaluating several predictive models and selecting the one that best suits your business use case. Assisted Modeling helps you identify a target, set data types, select features, select the most relevant algorithms, and build your models.

Assisted Modeling Tool Predict Tool

The Predict tool makes predictions on new data with your model. After you've trained a model or models, you can score your models using the Predict tool. To generate predictions, input a model built using the Machine Learning tools and representative test data.

Fit Tool Machine Learning Tool

Transformation tools:

Transformation Tool

Data Typing Transformer

Missing Value Imputation Transformer

Feature Selection Transformer

Assisted Modeling Tool Classification Tool

The Classification category includes the following tools:

Decision Tree Classifier: The Decision Tree tool predicts a target variable using one or more variables that are expected to have an influence on the target variable.
Random Forest Classifier: The Forest Model tool predicts a target variable using one or more variables that are expected to have an influence on the target variable.
Logistic Regression Classifier: The Logistic Regression tool relates a binary (e.g., yes/no) variable of interest (a target variable) to one or more variables that are expected to have an influence on the target variable.