verticapy.machine_learning.memmodel.linear_model.LinearModel.predict#
- LinearModel.predict(X: list | ndarray) ndarray#
Predicts using the input Matrix.
Parameters#
- X: ArrayLike
The data on which to make the prediction.
Returns#
- numpy.array
Predicted values.
Examples#
Import the required module.
from verticapy.machine_learning.memmodel.linear_model import LinearModel
We will use the following attributes:
coefficients = [0.5, 1.2] intercept = 2.0
Let’s create a model.
model_lm = LinearModel(coefficients, intercept)
Create a dataset.
data = [[1.0, 0.3], [2.0, -0.6]]
Compute the predictions.
model_lm.predict(data) Out[6]: array([2.86, 2.28])
Note
Refer to
LinearModelfor more information about the different methods and usages.