Introduction to Sensitivity Analysis in Python - Exploring the Parameter Space скачать в хорошем качестве

Introduction to Sensitivity Analysis in Python - Exploring the Parameter Space

Introduction to Sensitivity Analysis in Python Part of the lecture series "Exploring the Parameter Space": https://nickderobertis.github.io/fin-... Full Course Website: https://nickderobertis.github.io/fin-... Notes -------- With sensitivity analysis in Python, we can get DataFrames looking similar to the tables with conditional formatting we saw in Excel We can also output hexbin plots which show the same graphically Unlike Excel, we are not limited to analyzing two inputs at once, though it still makes sense to visualize the output in pairs of inputs The basic setup with pure Python is fairly simple: use loops over the possible input values and call your model function in the loop, saving the output associated with the inputs. Changing multiple inputs at once means multiple nested loops. Then you have to add the conditional formatting or hexbin plot The sensitivity package reduces this all to a couple lines of code, regardless of how many inputs you want to look at Resources ------------ Sensitivity Analysis: https://nickderobertis.github.io/fin-...