All Questions
185 questions
1
vote
0
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71
views
Configuration of Python-NEAT algorithm
I am using the NEAT algorithm to optimize traffic signal timings based on inputs like queue lengths from four directions at an intersection. The goal is to generate optimal signal timings as output. ...
0
votes
1
answer
677
views
Model to determine if certain company names are the same [closed]
So I was trying to look into models that could help determine if a company name is the same. So basically I have a dataset that lists a bunch of company names that different investment funds hold but ...
2
votes
0
answers
82
views
Improving performance of word extraction
I have written the following code:
temp_list = processed_text.split()
print(temp_list)
emotion_lists = {
'admiration': [], 'amusement': [], 'anger': [], 'annoyance': [],
'approval': [], '...
-1
votes
2
answers
526
views
What ML algorithm to use in order to find a pattern between file name and the content of the file? [closed]
I am working on a ML project and got stuck on what approach to take in that problem:
I have a table (.csv file) that contains in a column 'file' list of all my .txt files that are called BAM_xxxx, ...
2
votes
0
answers
41
views
How to increase chances of certain words to be selected as keywords in Rake-Nltp
I'm using Rake-Nltp to generate keywords from sentences. I want to increase preferences for some words to be selected as keywords. My dataset is based on football(soccer) commentary... so for eg
...
2
votes
0
answers
104
views
Is there an algorithm for choosing which unknown points to input based on maximising a function of a row/column?
Is there an efficient algorithm for a small sparse table which will fill up with values based on selecting the unknown data points that has greatest POTENTIAL maximum scalar value taken as a function ...
0
votes
1
answer
80
views
How to load datasets on google collab such that they remain whenever I open my notebook?
Google collab always shows that file will be unloaded when runtime finishes. Why?
I had to present a collab notebook in class and as soon as I opened the page everything was vanished. It was a large ...
-1
votes
1
answer
456
views
Finding number of misclassified points in perceptron Algorithm - Linear Classifier Machine Learning
From the given script, how do I now find the number of misclassified points.
Please Help
import numpy as np
DATA = np.loadtxt("C:/Users/abish/OneDrive/Desktop/Machine Learning/...
0
votes
1
answer
176
views
Guessing the correct address based on an incorrect or incomplete address and historical address values?
I have a list of incomplete (e.g. missing the city field) or incorrect (e.g. spelling mistakes) human-readable addresses to which my company car needs to go in the future. So for one wrong address, ...
0
votes
1
answer
59
views
Does the preprocessing of one algorithm change the conditions of the experiment?
As an example,
We have two algorithms that utilize the same dataset and the same train and test data:
1 - uses k-NN and returns the accuracy;
2 -applies preprocessing before k-NN and adds a few more ...
-3
votes
1
answer
273
views
Machine learning options to detect errors in a large number of sql tables? [closed]
I'm new to ML and want to build a system that can detect errors or anomalies in input data that I receive from customers. The data is structured in sql tables with various column names. The value ...
-1
votes
1
answer
39
views
Input Automation to Shortest Path Algorithm (BFS Algorithm)
I am using BFS Algorithm to find the shortest path between the points which covers all the points and generates the shortest path. I am giving input(nearest neighbors) manually, and finding difficulty ...
0
votes
1
answer
58
views
Need suggestions for a NLP use case
I am trying to build a web scraper that can predict the content of a given URL into multiple categories, but I am currently confused about which method is best suited for my use case. Here's the ...
-1
votes
1
answer
182
views
TypeError: unsupported operand type(s) for *: 'builtin_function_or_method' and 'int' when multiplying using asterisk (*)
In the HuBMAPDataset class, I set sz using self.sz = reduce*sz. My code raised unsupported operand type error.
reduce = 4
class HuBMAPDataset:
def __init__(self, idx, fold, train=True, tfms=None):
...
0
votes
1
answer
449
views
Clustering - how to recommend movie based on selected movie?
As my question states, I am working with clustering algorithms.
I have been clustering movies from IMDB, I have 15 clusters and each cluster contains a genre combination. Now I am struggling with the ...