human
I am working on the file "README.ipynb".
The first task is:
Regression
Can you write Python program for it?
assistant
#Here is the Python program you requested.

from nonconformist.base import RegressorAdapter
from nonconformist.nc import RegressorNc

class MyRegressorAdapter(RegressorAdapter):
    def __init__(self, model, fit_params=None):
        super(MyRegressorAdapter, self).__init__(model, fit_params)
        
    def fit(self, x, y):
        '''
            x is a numpy.array of shape (n_train, n_features)
            y is a numpy.array of shape (n_train)
            
            Here, do what is necessary to train the underlying model
            using the supplied training data
        '''
        pass
    
    def predict(self, x):
        '''
            Obtain predictions from the underlying model
            
            Make sure this function returns an output that is compatible with
            the nonconformity function used. For default nonconformity functions,
            output from this function should be predicted real values in a
            numpy.array of shape (n_test)
        '''
        pass

my_regressor = None # Initialize an object of your regressor's type
model = MyRegressorAdapter(my_regressor)
nc = RegressorNc(model)