Complete all the todos? class LeastMeanSquares (LinearModel): Performs regression using least mean squares (gradient descent) attributes: w
Fantastic news! We've Found the answer you've been seeking!
Question:
Complete all the todos?
Transcribed Image Text:
class LeastMeanSquares (LinearModel): Performs regression using least mean squares (gradient descent) attributes: w (np.ndarray): weight matrix alpha (float): learning rate or step size epochs (int): Number of epochs to run for mini-batch gradient descent seed (int): Seed to be used for NumPy's RandomState class or universal seed np.random.seed() function. definit__(self, alpha: float, epochs: int, seed: int = None): super().__init__() self.w None self.alpha= alpha self.epochs self.seed seed def fit (self, X: np.ndarray, y: np.ndarray) -> None: """ Used to train our model to learn optimal weights. TODO: epochs Finish this method by adding code to perform LMS in order to learn the weights self.w`. def predict (self, X: np.ndarray) -> np.ndarray: """ Used to make a prediction using the learned weights. TODO: Finish this method by adding code to make a prediction given the learned weights 'self.w`. # TODO (REQUIRED) Add code below. # TODO (REQUIRED) Store predictions below by replacing np.ones() y_hat = | return y_hat class LeastMeanSquares (LinearModel): Performs regression using least mean squares (gradient descent) attributes: w (np.ndarray): weight matrix alpha (float): learning rate or step size epochs (int): Number of epochs to run for mini-batch gradient descent seed (int): Seed to be used for NumPy's RandomState class or universal seed np.random.seed() function. definit__(self, alpha: float, epochs: int, seed: int = None): super().__init__() self.w None self.alpha= alpha self.epochs self.seed seed def fit (self, X: np.ndarray, y: np.ndarray) -> None: """ Used to train our model to learn optimal weights. TODO: epochs Finish this method by adding code to perform LMS in order to learn the weights self.w`. def predict (self, X: np.ndarray) -> np.ndarray: """ Used to make a prediction using the learned weights. TODO: Finish this method by adding code to make a prediction given the learned weights 'self.w`. # TODO (REQUIRED) Add code below. # TODO (REQUIRED) Store predictions below by replacing np.ones() y_hat = | return y_hat
Expert Answer:
Answer rating: 100% (QA)
Heres the completed code for the fit and predict methods class LeastMeanSquaresLinearModel def init... View the full answer
Related Book For
Statistics Unlocking The Power Of Data
ISBN: 9780470601877
1st Edition
Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock
Posted Date:
Students also viewed these programming questions
-
an infographic to describe different APIs available. Make sure you pick APIs available in the cloud, including TAXII. REST APIs, and APIs available on popular security appliances you would find in a...
-
Planning is one of the most important management functions in any business. A front office managers first step in planning should involve determine the departments goals. Planning also includes...
-
The total benefits of the COMMIT program which is designed to encourage school children to commit themselves to a life free of drug addiction has been estimated to be B = 800q - 4q2, where q is the...
-
1. Suppose that a particle moves along a straight line with acceleration a(t) =-6t+2 meters per second per second at time t seconds. Suppose that we fix the positive direction as motion to the right,...
-
Abbotsford Bikes Ltd. reports cash sales of $6,000 on October 1. (a) Record the sales assuming they occurred in Ontario and are subject to 13% HST (charged on selling price only). (b) Record the...
-
Kumar SA uses a perpetual inventory system. At January 1, 2022, inventory was R$214,000,000 at both cost and net realizable value. At December 31, 2022, the inventory was R$286,000,000 at cost and...
-
How to structure a factual investigation
-
The following information is known about a project a. Draw the network diagram for this project. b. Determine the critical path and project duration c. Calculate the slack for eachactivity Activity...
-
Cyber Security Indicate where this career path fits into the larger field of computing. Refer to industry standards, professional organizations, and accrediting agencies for the status of the career...
-
Remaining Time: 56 minutes, 35 seconds. necacollege.ca/ultra/courses/_665129_1/cl/outline Question Completion Status: 1 2 3 QUESTION 8 4 5 6 QUESTION 9 7 8 9 10 CSN305 Virtual Classroom X The...
-
Describe and explain what project documents should be archived?
-
Describe an area for study, research, and practice that places a priority on improving health and achieving health equity for all people worldwide, Explain.
-
Analyze how the application of strategic management and planning has played a part in defining the organization's ongoing innovation strategies and business model.
-
Describe and explain a cost-effective way to do staff training and development in today's healthcare environment. Some things to consider: different schedules, shifts, remote vs onsite employees,...
-
Analyze the strategic approach to organizations innovation management including the organizational culture and the role of the individuals in the process.
-
QUESTION 4 Use the information provided to answer the following questions: 4.1 Calculate the following ratios for 2021. Express answers to two decimal places. 4.1.1 Gross margin 4.1.2 Inventory...
-
Define a traverse in Surveying?
-
In Exercise 4.132 on page 279, we learn that massage helps reduce levels of the inflammatory cytokine interleukin-6 in muscles when muscle tissue is tested 2.5 hours after massage. The results were...
-
Some computer output for an analysis of variance test to compare means is given. (a) How many groups are there? (b) State the null and alternative hypotheses. (c) What is the p-value? (d) Give the...
-
p = 0.32 and the standard error is 0.04. Information about a sample is given. Assuming that the sampling distribution is symmetric and bell-shaped, use the information to give a 95% confidence...
-
Find the free-vibration response of the spring-mass system shown in Fig. 6.6 (a) for \(k_{1}=k, k_{2}=2 k, k_{3}=3 k, m_{1}=m, m_{2}=2 m\), and \(m_{3}=3 m\) corresponding to the initial conditions...
-
Find the free-vibration response of the tightly stretched string shown in Fig. 6.33 for \(m_{1}=2 m, m_{2}=m, m_{3}=3 m\), and \(l_{i}=l(i=1,2,3,4)\). Assume the initial conditions as...
-
Find the free-vibration response of the triple pendulum shown in Fig. 6.10 for \(l_{i}=l(i=1,2,3)\) and \(m_{i}=m(i=1,2,3)\) for the initial conditions \(\theta_{1}(0)=\theta_{2}(0)=0\),...
Study smarter with the SolutionInn App