Huanfa Chen

Question: influence of different bootstrapping techniques on random forest

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Hi all. I am interested in how the bootstrapping techniques affect the performance random forest. Is there any paper on this topic? To my knowledge, one essential condition for the...

Questions on heuristics for MCLP

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Hi Aaron, Thanks for developing this package. It is so cool. In this package, the location models are solved by tools that are supported py PuLP (Gurobi, GLPK...). However, when...

Hi. I wonder whether it is possible to extend this package for the drone route planning in a real urban environment, e.g. with Digital Elevation Model (DEM) information. If this...

“Bias squared” rather than “Bias”?

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I have a question about the “Average bias” in [this documentation](https://rasbt.github.io/mlxtend/user_guide/evaluate/bias_variance_decomp/) and [the coding of the bias_variance_decomp function](https://github.com/rasbt/mlxtend/blob/master/mlxtend/evaluate/bias_variance_decomp.py). If Loss = [Bias]^2 + Variance, then in the reporting of the...

**TLDR**: this is not to report a problem but a note of the problem that I have met and solved. Think it may be a problem for other Windows users....

Problem with sh docker.sh

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I tried running `sh docker.sh start` in Windows WSL, and got the following errors: ``` docker.sh: 9: [[: not found Using default configuration as config.sh. docker.sh: 19: source: not found...

A student failed to install the env using this yml file on Windows 10 (see the error message below). It was an issue with the syntax of the yml file....

Erorr of using xelatex

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I had an error of using **xelatex** as the latex_engine. The reason for using **xelatex** is that it allows for UTF-8 encoding. However, it looks like xelatex is not compatible...

Adding new features: demand weight and distance matrix

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Hi Nick. I plan to add two new features to the max_coverage function: - Adding demand weights - Accepting a distance matrix These features would make this package more general,...

Error: Column `facility_chosen` must be a 1d atomic vector or a list

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I tried testing the example of max_coverage() function, as follows: ```r require(maxcovr) require(dplyr) york_selected % filter(grade == "I") york_unselected % filter(grade != "I") # Try to call max_coverage with gurobi...