Sine Regression

Module: deeprai.models.regression.sine_regression


Class: SineRegression

A class representation of the sine regression model.


1. Initializer: __init__(self)

Description:

Initializes the SineRegression class.

Attributes:

Example:

from deeprai.models.regression import SineRegression

model = SineRegression()

2. Method: fit(self, x_vals, y_vals)

Description:

Fit the model to the given x_vals and y_vals using sine regression.

Parameters:

Returns:

Example:

model.fit(x_vals=[1, 2, 3], y_vals=[2, 1.5, 2.5])

3. Method: run(self, x_val)

Description:

Use the previously fitted model to predict the output for a given x_val based on the sine equation.

Parameters:

Returns:

Example:

predicted_val = model.run(4)
print(predicted_val)

Revision #1
Created 6 September 2023 13:29:15 by Kieran Carter
Updated 6 September 2023 13:32:53 by Kieran Carter