verticapy.machine_learning.memmodel.linear_model.LinearModelClassifier.predict_sql¶
- LinearModelClassifier.predict_sql(X: Annotated[list | ndarray, 'Array Like Structure']) str¶
Returns the SQL code needed to deploy the model using its attributes.
Parameters¶
- X: ArrayLike
The names or values of the input predictors.
Returns¶
- str
SQL code.
Examples¶
Import the required module.
from verticapy.machine_learning.memmodel.linear_model import LinearModelClassifier
We will use the following attributes:
coefficients = [0.5, 1.2] intercept = 2.0
Let’s create a model.
model_lmc = LinearModelClassifier(coefficients, intercept)
Let’s use the following column names:
cnames = ['col1', 'col2']
Get the SQL code needed to deploy the model.
model_lmc.predict_sql(cnames) Out[6]: '((1 / (1 + EXP(- (2.0 + 0.5 * col1 + 1.2 * col2)))) > 0.5)::int'
Note
Refer to
LinearModelClassifierfor more information about the different methods and usages.