All Questions
25 questions
-2
votes
1
answer
85
views
How to create a tensor based on another one - Studying PyTorch in practice?
I'm studying IA using PyTorch and implementing some toy examples.
First, I created a one-dimensional tensor (X) and a second tensor (y), derived from the first one:
X = torch.arange(0, 100, 1.0)....
0
votes
1
answer
40
views
Problem in defining a ML model for my Npy dataset
I need help in defining a torch model for my data. I have tried various methods but nothing seems to be working out. Error after error related to input size and shaping. How can I resolve these issues?...
0
votes
2
answers
347
views
How to train a network with two or more layers
I am implementing a neural network from scratch using python. I have a Neuron class, layer class and network class.
I have managed to train and use a network with 1 layer, 1 Neuron and 3 inputs.
I now ...
-1
votes
1
answer
43
views
MNIST number guesser stuck at 9.84% accuracy
I built a MNIST dataset through watching yt tutorials. Every tutorial was using numpy but since pytorch is a newer technology I decided to build mine using pytorch. The problem is that my model is ...
- 1
-1
votes
1
answer
1k
views
Trouble with numpy np.int when using SHAP values
whenever i try to run shap explainers i get the following error code:
"/envs/shapTest/lib/python3.9/site-packages/shap/explainers/_kernel.py", line 277, in explain
num_subset_sizes = np....
-1
votes
1
answer
3k
views
How to make a Python program to predict the next outcome of a game (of picking a color out of two), using AI and machine learning libraries
I wanted to make a program in Python using the LSTM technique that can predict the next outcome or say probability of a picking a color out of two. The program should use AI and machine learning ...
- 1
0
votes
1
answer
126
views
How remove the label data from feature data from window time series (tensorflow)
I train a models of time series forecasting use tensorflow. The models in this tutorial will make a set of predictions based on a window of consecutive samples from the data.
*I want to remove the ...
0
votes
1
answer
73
views
Need to compare data of 5000 houses to the top 5000 rows of original dataset
i have a house pricing data set of 80000+ rows. I calculated, according to lattitude and longitude, each houses distance to a landmark in the city, for price detection.
And, i found out that 5500+ is ...
- 41
-1
votes
2
answers
2k
views
How to reshape machine learning data to match input shape?
So I have some machine learning data split into testing and training data. The data is imported from a csv file and split into training and testing data using a numpy array.
I manage to split the data ...
3
votes
1
answer
21k
views
ValueError: matmul: Input operand 0 does not have enough dimensions (has 0, gufunc core with signature (n?,k),(k,m?)->(n?,m?) requires 1)
im new in the crate and programm A.I, and idk how solve this problem, i was programming with the help of YouTube, but he haven't this problem and since I'm new I have no idea how to solve it, much ...
1
vote
1
answer
442
views
Can anyone make sense of this unexpected value error from scipy.sparse.csr_matrix((data, indices, indptr), [shape=(M, N)])?
When using scipy.sparse.csr_matrix((data, indices, indptr), [shape=(M, N)]) I get the value error: data, indices, and indptr should be rank 1. BUT the data indices and indptr I am using are rank 1 ...
user9416214
-3
votes
1
answer
65
views
NumPy package gives an array() error how to fix this? [closed]
This is a sample code to perform Binarization of data using Techniques for Data Preprocessing :
import numpy as np
import sklearn.preprocessing
input_data = np.array([2.1, -1.9, 5.5],
...
- 3
1
vote
0
answers
294
views
How to predict a winner in a 5v5 game using tensorflow?
I have data from a 5v5 player game that looks like this:
map1,ally1,ally2,ally3,ally4,ally5,enemy1,enemy2,enemy3,enemy4,enemy5,winner
For example:
Jaguar Falls,Androxus,Tiberius,Khan,Jenos,Seris,Inara,...
- 81
2
votes
1
answer
146
views
What is the difference between this two lines of code? ML arrays
So I started learning ML and I need to code in Python. I follow a tutorial on back propagation. So, in it, I am presented with the problem of turning an algorithm to support matrix multiplication so ...
user10794514
1
vote
1
answer
284
views
The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() - Numpy Library
I have seen this same topic some other place but no real answer to my question. I have a numpy array and I need to find the index of a number.
a=np.argsort(cosine_similarity(tfidf_matrix[11:12], ...
