Example: How to Use BYOM Scoring Model with Teradataml Widgets - Example: How to Use BYOM Scoring Model with Teradataml Widgets

Load data and DataFrame objects

Import the required libraries and functions to call teradataml code before using teradatamlwidgets.

import os, teradataml
from teradataml import get_connection, DataFrame
from teradataml import save_byom, retrieve_byom, load_example_data
from teradataml import configure, display_analytic_functions, execute_sql

Load the example data.
```
load_example_data("byom", "iris_test")
```

Create the teradataml DataFrame objects.

iris_test = DataFrame.from_table("iris_test")

Load model into Vantage

Load the model file into Vantage.

model_file = os.path.join(os.path.dirname(teradataml.__file__), "data", 
                       "models", "dr_iris_rf"
try:
   save_byom("dr_iris_rf", model_file, "byom_model")
except:
   pass

Set the parameters

Set the parameters:
1. Set Function to DataRobotPredict.
2. Set BYOM Install to mldb.
3. Set InputTable to iris_test.
4. Set ModelID to dr_iris_rf.
5. Set ModelTable to byom_models.
6. Set Accumulate to sepal_length, petal_length, petal_width.
7. Set OverwriteCachedModel to *.
Select Execute.

Example: How to Use BYOM Scoring Model with Teradataml Widgets - Example: How to Use BYOM Scoring Model with Teradataml Widgets - Teradata VantageCloud Lake

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