vastorbit.machine_learning.memmodel.linear_model.LinearModelClassifier.predict_proba_sql¶
- LinearModelClassifier.predict_proba_sql(X: Annotated[list | ndarray, 'Array Like Structure']) list[str]¶
Returns the SQL code needed to deploy the model probabilities using its attributes.
- Parameters:
X (ArrayLike) – The names or values of the input predictors.
- Returns:
SQL code.
- Return type:
list
Examples
Import the required module.
from vastorbit.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_proba_sql(cnames)
Note
Refer to
LinearModelClassifierfor more information about the different methods and usages.