rasbt / rasbt/python-machine-learning-book
TypeError: can't multiply sequence by non-int of type 'float'
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Description
I am getting this error at the np.dot for the Iris data set. Can you explain the solution ?
Following is traceback :
Traceback (most recent call last):
File "Perceptron.py", line 61, in
ppn.train(x, y)
File "Perceptron.py", line 24, in train
update = self.eta * (target - self.predict(xi))
File "Perceptron.py", line 35, in predict
return np.where(self.net_input(X) >= 0.0, 1, -1)
File "Perceptron.py", line 32, in net_input
return np.dot(X, self.w_[1:]) + self.w_[0]
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Research direction
Start with Perceptron.py at lines 24, 32, 35, and 61, then inspect the Iris feature data and the types passed to np.dot. Reproduce the traceback and determine why the operands are not numeric; done means the reported training path runs without this TypeError and the explanation is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100