Project 3: Assess Learners Documentation

 

LinRegLearner.py

 

class LinRegLearner.LinRegLearner(verbose=False)

This is a Linear Regression Learner. It is implemented correctly.

Parameters

verbose (bool) – If “verbose” is True, your code can print out information for debugging.
If verbose = False your code should not generate ANY output. When we test your code, verbose will be False.

add_evidence(data_x, data_y)

Add training data to learner

Parameters

• data_x (numpy.ndarray) – A set of feature values used to train the learner
• data_y (numpy.ndarray) – The value we are attempting to predict given the X data

author()

Returns

The GT username of the student

Return type

str

query(points)

Estimate a set of test points given the model we built.

Parameters

points (numpy.ndarray) – A numpy array with each row corresponding to a specific query.

Returns

The predicted result of the input data according to the trained model

Return type

numpy.ndarray