CODEWITHSUNDEEP
pythonmachine-learningpickleattributeerror
great.umbra
great.umbra

Reputation: 11

Attribute error after pickle

First I followed an iris tutorial and it worked great! the program ran fine and did everything it was supposed to do. Then I started working on a pickle tutorial to pickle data then open it again ... then everything went crazy. Now I have a pycache folder in my code folder that wasn't there and I am getting the following error:

AttributeError: module 'numpy' has no attribute 'dtype'

So far I have tried completely wiping scipy, numpy, sklearn, and pandas from my computer and reinstalling. Then I tried disabling rapport (I'm on an Ubuntu machine) because a part of the bug long error code kept talking about it.

Below is the program I ran that I think caused this.

 Save Model Using Pickle
import pandas
from sklearn import model_selection
from sklearn.linear_model import LogisticRegression
import pickle
url = "https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv"
names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
dataframe = pandas.read_csv(url, names=names)
array = dataframe.values
X = array[:,0:8]
Y = array[:,8]
test_size = 0.33
seed = 7
X_train, X_test, Y_train, Y_test = model_selection.train_test_split(X, Y, test_size=test_size, random_state=seed)
# Fit the model on 33%
model = LogisticRegression()
model.fit(X_train, Y_train)
# save the model to disk
filename = 'finalized_model.sav'
pickle.dump(model, open(filename, 'wb'))

Upvotes: 0

Views: 292

Answers (2)

great.umbra
great.umbra

Reputation: 11

Upon further investigation I realized I saved the code as pickle.py on my computer (in the same folder that the pycache was appearing). I changed it to pickle1.py and now everything works. Lesson learned don't name code after modules...

Upvotes: 1

CodeMonkey
CodeMonkey

Reputation: 1835

I might guess that your numpy installation somehow got stepped on. Maybe try "pip install --upgrade --force-reinstall numpy" in your command line?

Or maybe it's a line that says "numpy.dtype" somewhere is being used wrong. You'd have to share at least that line of code to see that though.

Just wild guesses without having your entire setup.

Upvotes: 0

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