All Questions
31 questions
4
votes
0
answers
110
views
Python 2.7 with numpy needs only halve of the threads than Python 3.7 and run 5 time faster
Problem:
I am using Micheal Nielsen's python 2.7 code to learn machine learning
(his github) and I am trying to transfer his file network.py and mnist_loader.py from python 2.7 to python 3.7.
...
0
votes
1
answer
4k
views
How can I add class labels in python?
I have gaussian data which is:
r1=np.random.multivariate_normal(mean1, cov1, 3000)
r2=np.random.multivariate_normal(mean2, cov2, 3000)
Now I want to add class labels for these datas to train a ...
0
votes
0
answers
59
views
Python error no attribute found
Am working on machine learning project so
When I import the text file which is a table of values where no columns titles when I wrote this :
import numpy
Data = numpy.genfromtext( « test.txt » , ...
0
votes
1
answer
931
views
Perceptron implementation, decision boundary will not plot
I am attempting to implement a perceptron. I have loaded a 100x2 array of values between 0 and 100. Each item in the array has a label of either -1 or 1.
I believe the perceptron is working, however ...
-3
votes
1
answer
190
views
k-Nearest Neighbors rundown
I'm trying to follow an example on k-Nearest Neighbors and I'm not sure about the numpy command syntax. I'm supposed to be doing a matrix-wise distance calculation and the code given is
def classify(...
0
votes
1
answer
232
views
Numpy giving error when not imported.
So I'm trying out machine learning, and following a tutorial I found online.
For some reason when I run my code numpy is giving me an error, even-though I am not importing that library. (I've been ...
0
votes
1
answer
2k
views
label_keys type error on DNNCLassifier Tensorflow
I want to embed labels into a DNNClassifier model in Tensorflow.
Unlike the documentation example, here , I get the following error message:
label_keys_values = ["satan", "ipsweep",...
0
votes
0
answers
2k
views
TypeError: float() argument must be a string or a number, not 'map'
I am running a simple program from GitHub (https://github.com/tyleryasaka/weatherman).
It gives me this error:
Traceback (most recent call last):
File "C:/Users/Humxa/Desktop/weatherman-...
7
votes
1
answer
451
views
How can I optimize the calculation over this function in numpy?
I want to implement the following problem in numpy and here is my code.
I've tried the following numpy code for this problem with one for loop. I am wondering if there is any more efficient way of ...
1
vote
0
answers
626
views
Enron email data set spam classification
I am trying to clean the Enron email data set. I have got all the files read and displayed by the code below:
import os
directory = os.path.normpath("C:/Users/cool_/Desktop/Enron/Enron1/ham")
for ...
0
votes
0
answers
549
views
Similar Users in MovieLens Data
I am trying to find the similar users in Movie Lens data using numpy in python so that all calculations are fast. However, I am not able to get the final code to find similarity using matrices ...
2
votes
1
answer
3k
views
Could someone explain this neural network machine learning code?
import numpy as np
def nonlin(x, deriv=False):
if (deriv == True):
return (x * (1 - x))
return 1 / (1 + np.exp(-x))
X = np.array([[1,1,1],
[3,3,3],
[2,2,2]...
5
votes
1
answer
9k
views
confused about numpy.c_ document and sample code
I read the document about numpy.c_ many times but still confused. It is said -- "Translates slice objects to concatenation along the second axis." in the following document. Could anyone clarify in ...
0
votes
1
answer
144
views
numpy.ndarray syntax understanding for confirmation
I am referring the code example here (http://scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html), and specifically confused by this line iris.data[:, :2], since iris.data is ...
7
votes
2
answers
5k
views
numpy reshape confusion with negative shape values
Always confused how numpy reshape handle negative shape parameter, here is an example of code and output, could anyone explain what happens for reshape [-1, 1] here? Thanks.
Related document, using ...