vastorbit.machine_learning.memmodel.cluster.KPrototypes.predict_proba_sql

KPrototypes.predict_proba_sql(X: Annotated[list | ndarray, 'Array Like Structure']) → list[str]

Returns the SQL code needed to deploy the model probabilities.

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.cluster import KMeans

We will use the following attributes:

clusters = [[0.5, 0.6], [1, 2], [100, 200]]
p = 2

Let’s create a model.

model_km = KMeans(clusters, p)

Let’s use the following column names:

cnames = ['col1', 'col2']

Get the SQL code needed to deploy the model.

model_km.predict_proba_sql(cnames)

Important

For this example, a specific model is utilized, and it may not correspond exactly to the model you are working with. To see a comprehensive example specific to your class of interest, please refer to that particular class.