7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

This example uses the "iris" data set (iris_input). The data has values for four attributes (sepal_length, sepal_width, petal_length and petal_width), which are grouped into three categories (setosa (1), versicolor (2), virginica (3)). From the raw data, the example creates a train and test set.

The function Single_Tree_Drive acts on the train set to generate the model. The Single_Tree_Predict function uses that model and a test set to predict the output. The prediction accuracy is determined based on the original and prediction results.

Single_Tree_Drive Example 1 Iris Table iris_input
id sepal_length sepal_width petal_length petal_width species
1 5.1 3.5 1.4 0.2 1
2 4.9 3 1.4 0.2 1
3 4.7 3.2 1.3 0.2 1
4 4.6 3.1 1.5 0.2 1
5 5 3.6 1.4 0.2 1
6 5.4 3.9 1.7 0.4 1
7 4.6 3.4 1.4 0.3 1
8 5 3.4 1.5 0.2 1
9 4.4 2.9 1.4 0.2 1
10 4.9 3.1 1.5 0.1 1
... ... ... ... ... ...