Use the Apply class to create a teradataml Apply class object with the characteristics you want to consider for the call to the APPLY Table Operator.
In this example, specify the following:
- The apply_command argument to call the Python interpreter in your user environment and execute your script.
- The returns argument with the list of output variables and types returned by your script.
- The env_name argument to specify your user environment handler.
- Call to the Apply class.
apply_obj = Apply(data=test_data, apply_command='python3 keras.py', returns={"OUTPUT": FLOAT}, env_name=demo_env, style='csv', )You can print on screen the SQL query submitted by teradataml in the background with the following statement:display.print_sqlmr_query = True
- Invoke the execute_script method of the Apply class object to run the Python script inside the user environment.
apply_obj.execute_script().head(n=5)
Observe that after running the python statement, the system prints for you the corresponding SQL query as requested.SELECT * FROM apply ( on (SELECT text from sample_dataSet_py) as "input" partition by text returns (output float) using environment('py_keras_env') apply_command('python3 keras.py') style('csv') ) as dt;The output:OUTPUT --------------------------------------------------------------------------- 1.10875667714961E-007 2.26244948699866E-013 2.86314182350653E-015 2.86314182350653E-015 1.77759042045601E-015 1.60488906042651E-015 1.60488906042651E-015 1.60488906042651E-015 1.54937790924120E-015 1.60488906042651E-015