packtpublishing / artificial-intelligence-with-python

Code repository for Artificial Intelligence with Python, published by Packt

Artificial Intelligence with Python

This is the code repository for Artificial Intelligence with Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!

##Instructions and Navigation All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

A block of code is set as follows:

[default]
exten => s,1,Dial(Zap/1|30)
exten => s,2,Voicemail(u100)
exten => s,102,Voicemail(b100)
exten => i,1,Voicemail(s0)

This book is focused on artificial intelligence in Python as opposed to the Python itself. We have used Python 3 to build various applications. We focus on how to utilize various Python libraries in the best possible way to build real world applications. In that spirit, we have tried to keep all of the code as friendly and readable as possible. We feel that this will enable our readers to easily understand the code and readily use it in different scenarios.

Related Products

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Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781839219535

artificial-intelligence-with-python's Issues

code error

when I run chapter 14 vector_quantizer.py,it have the following error message
Error: slice indices must be integers or None or have an index method
when run to the following code
nn = nl.net.newlvq(nl.tool.minmax(data), num_input_neurons, weights

OS error

I'm getting this error when I run the code same with regressor_multivar.py

PS E:\Python> & C:/Users/rickz/anaconda3/python.exe "e:/Python/Artificial-Intelligence-with-Python/Chapter 02/code/regressor_singlevar.py"
Traceback (most recent call last):
File "e:/Python/Artificial-Intelligence-with-Python/Chapter 02/code/regressor_singlevar.py", line 12, in
data = np.loadtxt(input_file, delimiter=',')
File "C:\Users\rickz\AppData\Roaming\Python\Python37\site-packages\numpy\lib\npyio.py", line 981, in loadtxt
fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
File "C:\Users\rickz\AppData\Roaming\Python\Python37\site-packages\numpy\lib_datasource.py", line 269, in open
return ds.open(path, mode, encoding=encoding, newline=newline)
File "C:\Users\rickz\AppData\Roaming\Python\Python37\site-packages\numpy\lib_datasource.py", line 623, in open
raise IOError("%s not found." % path)
OSError: data_singlevar_regr.txt not found.

chapter04 stocks.py matplotlib.finance removed

When running python stocks.py in Chapter 04, it prints:

Traceback (most recent call last):
  File "stocks.py", line 7, in <module>
    from matplotlib.finance import quotes_historical_yahoo_ochl as quotes_yahoo
ModuleNotFoundError: No module named 'matplotlib.finance'

It seems matplotlib.finance has been removed from matplotlib and trasferred to mpl_finance. Moreover, quotes_historical_yahoo_ochl is no longer available in this package due to frequent changes of Yahoo API.

I wonder if you could provide an alternative way to get the stock quotes data, so that the file can be correctly run.

Thank you.

data_multivar_nb.txt file for Naïve Bayes classifier

hello, thanks to authors,Am new to artificial intelligence using python & i'am using this book as my guide, i am learning how Naïve Bayes classifier works,the input file data_multivar_nb.txt is not provided.. i have searched via web but i couldn't get help,so am reaching out for the link so that i can download the file..

Chapter 3, Building a Decision Tree Classifier

Page 67
from sklearn import cross_validation

Get an import error, looks like it is deprecated.

fit() missing 1 required positional argument: 'y'

code: classifier.fit(X, y)
TypeError Traceback (most recent call last)
in
1 #Тренировка классификатора
----> 2 classifier.fit(X, y)

TypeError: fit() missing 1 required positional argument: 'y'

And please post the package versions for installation via pip.

ch02/income_classifier throws bad_shape error

In [3]: runfile('C:/Users/Phil/src/Python/Artificial-Intelligence-with-Python/Chapter 02/code/income_classifier.py', wdir='C:/Users/Phil/src/Python/Artificial-Intelligence-with-Python/Chapter 02/code')
Reloaded modules: utilities
F1 score: 70.82%
Traceback (most recent call last):

File "", line 1, in
runfile('C:/Users/Phil/src/Python/Artificial-Intelligence-with-Python/Chapter 02/code/income_classifier.py', wdir='C:/Users/Phil/src/Python/Artificial-Intelligence-with-Python/Chapter 02/code')

File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)

File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Phil/src/Python/Artificial-Intelligence-with-Python/Chapter 02/code/income_classifier.py", line 78, in
input_data_encoded[i] = int(label_encoder[count].transform(input_data[i]))

File "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\label.py", line 128, in transform
y = column_or_1d(y, warn=True)

File "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 614, in column_or_1d
raise ValueError("bad input shape {0}".format(shape))

ValueError: bad input shape ()

Running this prime.py script

I'm running into errors running this python script located here https://github.com/PacktPublishing/Artificial-Intelligence-with-Python/blob/master/Chapter%2006/code/prime.py

I'm also using this python logpy script found here https://github.com/MHordecki/LogPy

This is the error i receive when I try to run it. Please see below. Any suggestions on what I can be doing wrong. I'm new to python coding.

Traceback (most recent call last):
File "C:\Users\user022\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Python 3.11\prime.py", line 2, in
import logpy.core as lc
File "C:\Users\user022\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Python 3.11\logpy.py", line 11, in
from collections import Sequence
ImportError: cannot import name 'Sequence' from 'collections' (C:\Users\user022\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Python 3.11\collections_init_.py)

Incorrect working grid_search.

I getting equal results with with using recall_weighted and precision_weighted scorers. What can I do for fix it and get results as in a book? Links for mine and original codes below.
My code , Original code

Ty u all

No module named 'utilities'

I am attempting Logistic Regression classifier. I'm in Spyder/Anaconda so I can edit. I get error: no module named 'utilities'. What's wrong?

Ch 4: Building a classifier based on Gaussian Mixture Models

# Draw boundaries 
plt.figure() 
colors = 'bgr' 
for i, color in enumerate(colors): 
    # Extract eigenvalues and eigenvectors 
    eigenvalues, eigenvectors = np.linalg.eigh( 
            classifier._get_covars()[i][:2, :2]) 

Output

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-34-c243fd25d6f3> in <module>
      5     # Extract eigenvalues and eigenvectors
      6     eigenvalues, eigenvectors = np.linalg.eigh( 
----> 7             classifier._get_covars()[i][:2, :2]) 

AttributeError: 'GaussianMixture' object has no attribute '_get_covars'

<Figure size 432x288 with 0 Axes>

missing preprocessing.py

There is no preprocessing.py in "Chapter 02" or any other chapters of the downloaded code. In the Safari Books Online ebook at the end of chapter 2 [Preprocessing data]: "The code for this entire section is given in the preprocessing.py file."

Chapter 3. Random Forest Classifier.

file: random_forests.py
I'm getting the following error:

usage: random_forests.py [-h] --classifier-type {rf,erf}
random_forests.py: error: the following arguments are required: --classifier-type

What should I do? Thanks in advance.

true labels and pred labels

hi, i want to know the values substituted as true labels and pred labels ? How those values are taken?? Thanks

G

from utilities import visualize_classifier

This is not working. The entire book is based on line 5, so I cannot proceed. Utilities module does not exist. Can someone please tell me what's wrong?

Artificial-Intelligence-with-Python/Chapter 03/code/traffic_prediction.py

Good Day!
Hi, i have a problem in line #52 of traffic_prediction.py. Please, you can help me to resolve this error?

test_datapoint_encoded[i] = int(label_encoder[count].transform(test_datapoint[i]))
File "C:\Python35\lib\site-packages\sklearn\preprocessing\label.py", line 128, in transform
y = column_or_1d(y, warn=True)
File "C:\Python35\lib\site-packages\sklearn\utils\validation.py", line 614, in column_or_1d
raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape ()

Best Regards!

python3 not found

for Python 3.6.3 to see version type "python --version", not "python3 --version"

Chapter 6 - Virginia is not in Costal States

In your map, the eastern shore of Virginia is incorrectly attributed to Maryland and Virginia is not listed as a Costal State. This is incorrect.

error with naive_bayes.py

I'm using pycharm, and when running the program, it sends the following error message: "ImportError: cannot import name 'cross_validation' from 'sklearn' "
Which command replaced the cross_validation function?