# Generating evenly spaced triplets of probabilities in Python

I need to test different discrete probability distributions and it happens that I need triplets but it can probably be generalized to higher number of elements. I would like to cover the space quite evenly. For example, for a step of 2, I would like something of the kind of : [[0,0,1],[0,0.5,0.5],[0,1,0],[0.5,0,0.5],[0.5,0.5,0],[1,0,0]] My current idea… Read More Generating evenly spaced triplets of probabilities in Python

# Trying to predict probability score using test data

I’m currently trying to test features and impacts to probability score on regression model we’ve built. I’m trying to test impacts of age on proba score to see if we need to retrain our model. I’m using parameters from our model as Param_Collection and using test data for age and sex and cc_list. I thought… Read More Trying to predict probability score using test data

# Distance metric with different sized lists (Python)

I am trying to find the jensen shannon distance metric between two distributions. However I am getting a ValueError because the two lists (probability distributions) are not the same size. How can I overcome this? Here is the current code: from scipy.spatial import distance distance.jensenshannon([0.1, 0.1, 0.3, 0.2, 0.30], [0.30, 0.50, 0.20]) >> ValueError: operands… Read More Distance metric with different sized lists (Python)

# Determine probabilites based on an array python

Let’s say I have and array.shape = (296,3) Where the first collumn contais 0 or 1, the second collumn contains 0,1 or 2 and the final collumn contains also 0,1 or 2. I want to know how I can calculate all the probabilites for each one of the 18 possible combinations (2x3x3) of the 3… Read More Determine probabilites based on an array python

# Construct a data frame with pandas

I wish to construct a data frame from the data I’m showcasing here. Can anyone help me in the right direction? Thanks a lot in advance!! test_comment = "We’re exceptionally proud of the 62,000 employees who work in our restaurants, along with the hundreds of Russian suppliers who support our business, and our local franchisees.… Read More Construct a data frame with pandas

# Javascript – Generate random small intervals in a range

I am trying to generate random intervals between the range: 2,5k – 10M. Currently, I am doing the following: const MIN_NUMBER = 2500; const MAX_NUMBER = 10000000; const random = (min, max, floating = false) => { const result = Math.random() * max + min; return floating ? result : Math.floor(result); }; const min =… Read More Javascript – Generate random small intervals in a range

# How to tune random.choice probability – python –

I made a function that randomly selects one from a list of texts. def ttc(*arg): a = random.choice([*arg]) return ”.join(a) print(ttc("Price", "Condition", "Loan")) print(ttc("entertainment", "geese", "Uruguay", "comedy", "butterfly")) But I found it necessary to make certain words have a higher probability of being selected. For example, can we change the probability of being selected sequentially… Read More How to tune random.choice probability – python –

# How do I distribute a value between numbers in a list

I am creating a bias dice rolling simulator I want the user to: 1.Input the number they would like to change the prob of 2.Input the prob (in decimal form) Then I would like my program to distribute the remainder between the other values, this is my first post – let me know if any… Read More How do I distribute a value between numbers in a list

# Question About a Probability Model Using C++

I am trying to solve a probability question theoretically and then modeling it on C++ but my code outputs a different probability from the theoretical one. Question: A balanced coin is tossed three times. Calculate the probability that exactly two of the three tosses result in heads. Answer: Sample space: {(H,H,H), (H,H,T), (H,T,H), (H,T,T), (T,T,T),… Read More Question About a Probability Model Using C++