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jbsch 2024-10-24 12:37:54 +05:30
parent 254b9bf87e
commit 97eb853842
1 changed files with 6 additions and 5 deletions
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machine_learning/ridge_regression/test_ridge_regression.py
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@ -11,7 +11,8 @@ To run these tests, use the following command:
python -m doctest test_ridge_regression.py -v python -m doctest test_ridge_regression.py -v
""" """
# from machine_learning.ridge_regression import RidgeRegression import numpy as np # noqa: F401
from ridge_regression import RidgeRegression # noqa: F401
def test_feature_scaling(): def test_feature_scaling():
@ -37,8 +38,8 @@ def test_fit():
Tests the fit function of RidgeRegression Tests the fit function of RidgeRegression
-------- --------
>>> model = RidgeRegression(alpha=0.01, >>> model = RidgeRegression(alpha=0.01,
regularization_param=0.1, ... regularization_param=0.1,
num_iterations=1000) ... num_iterations=1000)
>>> X = np.array([[1], [2], [3]]) >>> X = np.array([[1], [2], [3]])
>>> y = np.array([2, 3, 4]) >>> y = np.array([2, 3, 4])
@ -59,8 +60,8 @@ def test_predict():
Tests the predict function of RidgeRegression Tests the predict function of RidgeRegression
-------- --------
>>> model = RidgeRegression(alpha=0.01, >>> model = RidgeRegression(alpha=0.01,
regularization_param=0.1, ... regularization_param=0.1,
num_iterations=1000) ... num_iterations=1000)
>>> X = np.array([[1], [2], [3]]) >>> X = np.array([[1], [2], [3]])
>>> y = np.array([2, 3, 4]) >>> y = np.array([2, 3, 4])