Linked Questions
27 questions linked to/from What does numpy.random.seed(0) do?
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Hash-based selection, based on choices and probabilities [duplicate]
I have a list of choices in python like:
choices = ['A', 'B', 'C', 'D']
and a list of probabilities like:
probs = [0.5, 0.2, 0.1, 0.1]
they're related position-wise, A has a probability of 0.5, ...
- 2,581
138
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4
answers
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Differences between numpy.random and random.random in Python
I have a big script in Python. I inspired myself in other people's code so I ended up using the numpy.random module for some things (for example for creating an array of random numbers taken from a ...
- 1,902
71
votes
4
answers
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Randomness of Python's random
I'm using Python to generate images using dashed lines for stippling. The period of the dashing is constant, what changes is dash/space ratio. This produces something like this:
However in that image ...
- 9,132
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votes
2
answers
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Generate random timeseries data with dates
I am trying to generate random data(integers) with dates so that I can practice pandas data analytics commands on it and plot time series graphs.
temp depth acceleration
2019-01-1 ...
- 83
14
votes
1
answer
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What exactly does the Pandas random_state do?
I have the following code where I use the Pandas random_state
randomState = 123
sampleSize = 750
df = pd.read_csv(filePath, delim_whitespace=True)
df_s = df.sample(n=sampleSize, random_state=...
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3
answers
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Python Numpy: Random number in a loop
I have such code and use Jupyter-Notebook
for j in range(timesteps):
a_int = np.random.randint(largest_number/2) # int version
and i get random numbers, but when i try to move part of code to ...
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1
answer
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Gensim LDA: coherence values not reproducible between runs
I used this code, https://datascienceplus.com/evaluation-of-topic-modeling-topic-coherence/, to find topic coherence for a dataset. When I tried this code with the same number of topics, I got new ...
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1
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Why does my keras neural network model output different values on a different machine?
I am using aws ec2 to train a model for a multi-label classification task. After training , I tested the model on the same machine which gives me good results (accuracy of 90+%). However, after I ...
3
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1
answer
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Set numpy.random.seed on a global scale [closed]
How can I set numpy.random.seed(0) on a global scale? It seems I have to reset the seed every time I call a np.random function.
import numpy as np
np.random.seed(0)
print(np.random.randint(0,10,2))
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- 5,177
1
vote
2
answers
4k
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random_state parameter in sklearn's train_test_split
What difference does different values of random state makes to the output? For instance, if I set 0 and if I set 100 what difference would it make to the output?
- 61
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1
answer
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XgBoost accuracy results differ on each run, with the same parameters. How can I make them constant?
The 'merror' and 'logloss' result from XGB multiclass classification differs by about 0.01 or 0.02 on each run, with the same parameters. Is this normal?
I want 'merror' and 'logloss' to be constant ...
- 197
1
vote
3
answers
2k
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Dynamic pandas dataframe generation
Here is code I wrote to generate a dataframe that contains 4 columns
num_rows = 10
df = pd.DataFrame({ 'id_col' : [x+1 for x in range(num_rows)] , 'c1': [randint(0, 9) for x in range(num_rows)], 'c2'...
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1
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RandomizedSearchCV best_params_ changes everytime when I run this program
I want to use LogisticRegression to classify. So, I use RandomizedSearchCV to pick best C params in LogisticRegression.
My question is: Why do best_params_ change every time I run this program? I ...
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4
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541
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Sorting a pandas dataframe rowwise
A sample input data frame
import pandas as pd
df_input = pd.DataFrame([[1.7, 0.2], [0.4, 0.93], [0.05, 0.96], [0.97, 0.68]], columns=["A", "B"])
This example has two columns whereas the real ...
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1
answer
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np.random.seed need to be called every time
Following two version code should have given the same output. Looks like np.random.seed need to be called every time. Is it correct?
Is there any way to set seed once so that same random number ...
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