[FIXED] Perceptron in Python

Issue

I'm using sklearn library. I have a question about the attribute: n_iter_. When executing the code I get TypeError: __init__() got an unexpected keyword argument 'n_iter_'. Also try using n_iter but I get the same error, or maybe I am misspelling the attribute. It is not all the code, if you need more information, let me know

from sklearn.linear_model import Perceptron
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split


ppn= Perceptron(n_iter_=40, eta0= 0.1, random_state=1)
ppn.fit(X_train_std, y_train)

Solution

Perceptron Model in sklearn.linear_model doesn't have n_iter_ as a parameter. It has following parameters with similar names.

max_iter: int, default=1000
The maximum number of passes over the training data (aka epochs). It only impacts the behavior in the fit method, and not the partial_fit method.

and

n_iter_no_change : int, default=5
Number of iterations with no improvement to wait before early stopping.

New in version 0.20.

By looking at your code it looks like you intended to use max_iter.

So do

ppn=Perceptron(max_iter=40, eta0= 0.1, random_state=1)
ppn.fit(X_train_std, y_train)

Note: You should first upgrade your sklearn using

pip install sklearn -upgrade

Answered By - user13486325