35.1 Before Creating a Model
Explains the preparation steps before creating a model.
Models are database schema objects that perform machine learning. The DBMS_DATA_MINING PL/SQL package is the API for creating, configuring, evaluating, and querying machine learning models (model details).
Before you create a model, you must decide what you want the model to do. You must identify the training data and determine if transformations are required. You can specify model settings to influence the behavior of the model behavior. The preparation steps are summarized in the following table.
Table 35-1 Preparation for Creating an Oracle Machine Learning for SQL Model
| Preparation Step | Description |
|---|---|
|
Choose the machine learning function |
|
|
Choose the algorithm |
|
|
Identify the build (training) data |
See Prepare the Data |
|
For classification and regression models, identify the test data |
|
|
Determine your data transformation strategy and create and populate a settings tables (if needed) |
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