In Python, which keyword is used to define a metaclass within a class definition?
- classfor
- classmeta
- metaclass
- metaclassof
To define a metaclass within a class definition in Python, you use the keyword metaclass. This keyword specifies the metaclass for the class, allowing you to customize how the class is created and behaves.
In Python’s unittest framework, the ____ method is used to compare whether two values are equal.
- assertEqual()
- compare()
- equal()
- equalTo()
In Python's unittest framework, the assertEqual() method is used to compare whether two values are equal. It is an essential method for writing test cases to ensure expected and actual values match.
In RESTful API development, what does the acronym CRUD stand for?
- Call, Retrieve, Update, Destroy
- Connect, Read, Update, Disconnect
- Copy, Read, Update, Delete
- Create, Retrieve, Update, Delete
In RESTful API development, the acronym CRUD stands for Create, Retrieve, Update, Delete. These are the four basic operations that can be performed on resources in a RESTful API.
In Scikit-learn, ____ is the method used to train a model using the training data.
- fit
- train
- train_data
- train_model
In Scikit-learn, the fit method is used to train a machine learning model using the training data. This method takes the training data as input and adjusts the model's parameters to make predictions on new data.
In Scikit-learn, ____ is used to encode categorical variables into numerical format.
- Imputer
- LabelEncoder
- PrincipalComponentAnalysis
- RandomForest
In Scikit-learn, the LabelEncoder class is used to encode categorical variables into numerical format. It assigns a unique integer to each category, which can be useful when working with machine learning algorithms that require numerical input. This transformation is essential to handle categorical data effectively in many machine learning tasks.
In Scikit-learn, the ____ class is used for feature scaling.
- DecisionTree
- KMeans
- LinearRegression
- StandardScaler
In Scikit-learn, the StandardScaler class is used for feature scaling. Feature scaling is crucial in machine learning to ensure that all features have the same scale, preventing some features from dominating others during model training. StandardScaler standardizes features by removing the mean and scaling to unit variance.
In Scikit-learn, the ____ method is used to calculate the accuracy of the model on the test data.
- evaluate
- fit
- predict
- score
In Scikit-learn, the score method is used to calculate various metrics, including accuracy, to evaluate the performance of a machine learning model on test data. This method compares the model's predictions to the true labels and returns the accuracy score.
In Python, the ____ method is used to get the number of elements in a set.
- count()
- len()
- length()
- size()
In Python, the len() function is used to get the number of elements in various data structures, including sets. It returns the length or size of the set.
In Python, the ____ method is used to initialize the object’s attributes when an object is created.
- create()
- init()
- new()
- object()
In Python, the __init__() method is a special method (constructor) used to initialize the object's attributes when an object is created from a class. It allows you to set up the initial state of the object.
In Python, _____ is a special method used to overload the ‘+’ operator for custom objects.
- add
- overload
- plus
- sum
In Python, the __add__ method is used to overload the + operator for custom objects. This allows you to define custom behavior when two objects of your class are added together using the + operator.