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Mastering Development

How to pass a mix of multiple Arrays and individual arg to another function and return them (GAS/JS)?

I have a main function which do bunch of operations and the output is pushed into arrays along with other multiple values declared in individual variables. Then I need to pass them to another sub function for other bunch of operations then return the updated arrays. I realized that it will not work if I […]

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Mastering Development

Mixing and matching covariates from multinom models in stargazer

I’m trying to mix and match some coefficients for some multinomial logistic regression models to show how they compare in models on their own. The out put I would like is the coefficients for choice B and C for var2 from m1 followed by the coefficients for choice B and C for var3 from m2, […]

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Artificial Intelligence (AI) Mastering Development

Given the same features, do logistic regression and neural networks produce the same output?

I have a binary classification problem. I have variables (features) var1, var2, var3, …, var14. Using these variables (aka features) in a logistic regression, I get their weights. If I use the same set of variables in a neural network: Should I get a different output? or Should I get the same output? I developed […]

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Artificial Intelligence (AI) Mastering Development

Logistic Regression vs Neural Network– Same Features

i have a binary classification problem. I have variables(features) var1, var2, var3…var14. Using these variables(aka features) in a logistic regression, i get there weights. If I use the same set of variables in a neural network: Should i get a different output? or Should i get the same output? I developed a ROC Curve, and […]

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Mastering Development

correlation between groups in R

df <- data.frame(row.names = c(‘S.5.0U0′,’S.6.0U1′,’S.7.0U2′,’S.8.0U3’),vara=c(-1.2,15,8.5,0),varb=c(-29,29,2.6,5),var1=c(-0.5,1.5,58,0),var2=c(-2.09,-12,2.6,-0.75),var3 = c(0,0.056,-12,5.5)) > df vara varb var1 var2 var3 S.5.0U0 -1.2 -29.0 -0.5 -2.09 0 S.6.0U1 15.0 29.0 1.5 -12.00 0.056 S.7.0U2 8.5 2.6 58.0 2.60 -12 S.8.0U3 0.0 5.0 0.0 -0.75 5.5 I want to correlate vara with var1,var2,var3 and I want to correlate varb with var1,var2,var3. I tried […]

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Mastering Development

ctypes c_uint32 getting passed incorrectly from python to Cpp

I am using python with ctypes to call a C so file. The C structure is: typedef struct { uint32_t var1; uint32_t var2; uint32_t var3; uint8_t var4; uint8_t var5 } struct1; If I call C code where I set the variables of var1 to 0x050A, var2 to 0x102 and var3 to 0x203 build it and […]

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Mastering Development

Passing variables to sequential stages in jenkins pipeline

I have a Jenkins sequential staged pipeline which looks like below. I want to pass a map(something like def return_map = [:]) from the 1st sequential stage to the other sequential stage(1 to 2) This is the code which i am using. def stepsToRun = [:] pipeline { agent none stages { stage (“Prepare Stages”){ […]

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Mastering Development

iterate map of maps in groovy(Jenkins Pipeline

I am implementing a docker Jenkins pipeline. For this, I use a groovy script. In the image building stage I create a map of maps as follows. The reason is I am using this map of maps in the pushing stage to push the images. (This is the building stage) image_map = [:] def image_tags […]

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Mastering Development

Why does readmatrix in Matlab skip the first n lines?

In my simulation I am writing data to file using writematrix, then later reading it back using readmatrix. I am appending to a single file at each time step, each line is the same length or longer than the previous line. For some reason when using readmatrix on the output file, the first n lines […]

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Mastering Development

Combine code and print result to excel .csv file

I have 2 script files in python 1, This one keeps only numbers and remove characters that are not. import pandas as pd import re from re import sub data = pd.read_csv(“C:/Path_to_csv_file.csv”) data.columns=[“var1”, “var2”, “var3”] var1_list = list(data.var1) var2_list = list(data.var2) var3_list = list(data.var3) print(“var1”) for i in (data.var1): a=re.sub(“[^\d\.]”, “”, i) float(a) print(a) print(“\n\n”) […]