-main.cpp -studentType.h -studentTypeImp.cpp directions- Chapter 9 defined the struct studentType to implement the basic properties of a student. Define the class studentType with the same components as the struct studentType, and add member functions to manipulate the data members. (Note that the data members of the class studentType must be private.) Write a program to illustrate how to use the class studentType.

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Declaring a variable with only "type" is sufficient. The data type and other characteristics of a variable may be used to locate it. The next step is to figure out how to use this framework to describe any variable.

Is it feasible to make an extension without any special software? Please provide instances of each.

or this assignment, you will select either the Cat or the Dog Java class from the UML diagram. Open the Virtual Lab (Apporto) by clicking on the link in the Virtual Lab Access module. Then open your Eclipse IDE and create a new class. Use the Eclipse IDE Tutorial if you need help with creating a class in Eclipse. Before you begin, review the following UML Class Diagram, paying special attention to the attributes and behaviors of each class. As a note, though the diagram illustrates an inheritance relationship between the classes, the class you choose to implement does not have to inherit from the Pet class for the purposes of this assignment. You will learn more about implementing inheritance in later modules.   Next, you will implement either the Cat or Dog Java class. Your class must meet all of the specifications from the UML Class diagram. Be sure to include the following in your Cat or Dog class: All attributes (variables) with appropriate data types. Note that the types are…

In this lab, you create a derived class from a base class, and then use the derived class in a C++ program. The program should create two Motorcycle objects, and then set the Motorcycle’s speed, accelerate the Motorcycle object, and check its sidecar status. Instructions Ensure the file named Motorcycle.cpp is open in your editor. Create the Motorcycle class by deriving it from the Vehicle class. Use a public derivation. In the Motorcycle class, create a private attribute named sidecar. The sidecar attribute should be data type bool. Write a public set method to set the value for sidecar. Write a public get method to retrieve the value of sidecar. Write a public accelerate() method. This method overrides the accelerate() method inherited from the Vehicle class. Change the message in the accelerate() method so the following is displayed when the Motorcycle tries to accelerate beyond its maximum speed: "This motorcycle cannot go that fast". Open the file named…

QUESTION 3 Which of the following is true about Introduce parameter object refactoring technique?1. Does not work with Java2. The technique is used to increase performance as it requires less memory3. You will need to create a new structure (class) for the grouped data if that structure does not already exist 4.Used to to shorten methods

For the Point2D data type, create three static comparators: one that compares points based on their x, y, and distance from the centre, and the other two that compare points based on their respective coordinates. For the Point2D data type, create two non-static comparators: one that compares objects based on how far they are from a given point, and the other that compares objects based on how far they are from a given point polarly.

Use an appropriate scikit-learn library we used in class to create y_train, y_test, X_train and X_test by splitting the data into 70% train and 30% test datasets. Set random_state to 4 and stratify the subsamples so that train and test datasets have roughly equal proportions of the target's class labels Standardise the data using StandardScaler library

TODO 2 Complete the TODO by finding the locations of the data samples for each iris flower type. Hint: Use the code for how we found all the setosa_locs as an example! Using iris_df, find the location of all the data sample locations for the versicolor class which has a label of 1. To do so, use NumPy's np.where() function. Using iris_df, find the location of all the data sample locations for the virginica class which has a label of 2. To do so, use NumPy's np.where() function. setosa_locs = np.where(iris_df['class'] == 0)[0] # TODO 2.1versicolor_locs = # TODO 2.2virginica_locs =  todo_check([    (type(versicolor_locs) is np.ndarray, "'versicolor_locs' is not type np.ndarray. Make sure you indexed np.where() currently!"),    (type(virginica_locs) is np.ndarray, "'virginica_locs' is not type np.ndarray. Make sure you indexed np.where() currently!"),    (versicolor_locs[0] == 50, "'versicolor_locs' has an incorrect value"),    (virginica_locs[0] == 100, "'virginica_locs' has an…