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Showing posts with the label Probability
Logistic Regression With Weights Constraints(non-nagetive,desceding Order)

Logistic Regression With Weights Constraints(non-nagetive,desceding Order)

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I was asked in an interview if logistic regression with weights constraints such as 1.weights are a… Read more Logistic Regression With Weights Constraints(non-nagetive,desceding Order)
Generating Random Numbers With A Given Probability Density Function

Generating Random Numbers With A Given Probability Density Function

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I want to specify the probability density function of a distribution and then pick up N random numb… Read more Generating Random Numbers With A Given Probability Density Function
Returning A Value At Random Based On A Probability Weights

Returning A Value At Random Based On A Probability Weights

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Possible Duplicate: A weighted version of random.choice Let's say for simplicity a function t… Read more Returning A Value At Random Based On A Probability Weights
Python Itertools Product Repeat To Big

Python Itertools Product Repeat To Big

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I'm trying to make a python script to calculate some win/loss chances. to do this i'm tryi… Read more Python Itertools Product Repeat To Big
Iteration Performance

Iteration Performance

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I made a function to evaluate the following problem experimentally, taken from a A Primer for the M… Read more Iteration Performance
Numpy Histogram Representing Floats With Approximate Values As The Same

Numpy Histogram Representing Floats With Approximate Values As The Same

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I have code that generates a certain value from -10 to 10 given a range from [0,1) The code takes t… Read more Numpy Histogram Representing Floats With Approximate Values As The Same