CODEWITHSUNDEEP
pythonscikit-learn
William
William

Reputation: 23

Uknown TypeError: 'numpy.ndarray' object is not callable

I have a TypeError: 'numpy.ndarray' object is not callable and I have now clue what this means. I'm currently following this tutorial: https://www.youtube.com/watch?v=tNa99PG8hR8

for learing how to create a simple machine learning program using a data table provided by wikepedia which shows 3 types of tulips and the program is supposed to distinguish one from another. Right now though, it is only supposed to print the expected results for the 3 tulip types at 0, 50 and 100.

I tried to redownload python (I'm using linux) but it didn't solve the problem. 

import numpy as np
from sklearn.datasets import load_iris
from sklearn import tree

iris = load_iris()
test_idx = [0, 50, 100]

# training data
train_target = np.delete(iris.target, test_idx)
train_data = np.delete(iris.data, test_idx, axis=0)

# testing data
test_target = iris.target[test_idx]
test_data = iris.data[test_idx]

clf = tree.DecisionTreeClassifier()
clf.fit(train_data, train_target())

print test_target

The program is supposed to display the target data display of the training data that will be used for testing after the model has completed it's training

Upvotes: 2

Views: 10174

Answers (2)

Kami Kaze
Kami Kaze

Reputation: 611

Your error

TypeError: 'numpy.ndarray' object is not callable

means that you use the ()operator on an object that does not implement it (in this case a numpy.ndarray).

A simple example would be trying to do the following:

int i = 0;
print(i())

This does not work as int does not implement the () operator and is therefor not callable.

To fix your error:

The line (as @Oswald said):

clf.fit(train_data, train_target())

should look like this:

clf.fit(train_data, train_target)

Upvotes: 2

Courage
Courage

Reputation: 792

Remove the () from train_target in clf.fit, adding round braces will make it a callable

Upvotes: 4

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