In a Node class generated by Truffle's code generator, the static create() method is the method most often called directly from user code. Currently, this method is located at the bottom of the (often large) generated source file. It would be nice if this method was instead located near the top of the file, as this would make it much easier to discover and navigate to.

One unit test in the R package is currently broken. Steps to reproduce on Mac

export CXX=/usr/local/bin/g++-8 CC=/usr/local/bin/gcc-8
Rscript build_r.R
cd R-package/tests
Rscript testthat.R

This results in the following error at the ends of the logs

[LightGBM] [Info] Saving data to binary file /var/folders/xq/wktq4zdx4jd3qdpk34d28m940000gn/T//RtmpiY1DzV/lgb.Dataset_1555

The generated_holidays table in R contains a non-existing holiday, Bevrijdingsdag, Hemelvaart, that is actually a concatenation of two holidays (Bevrijdingsdag and Hemelvaart) that happen to coincide in that year, but in general do not fall on the same date.
This has prophet fit a coefficient for this joint holiday instead of the separate holidays. A `tidyr::separate_rows(holiday, sep

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],
 

I'm happy to announce that I'll be writing the second edition of Data Science at the Command Line (O'Reilly, 2014). This issue explains why I think a second edition is needed, lists what changes I plan to make, and presents a tentative outline. Finally, I have a few words about the process and giving feedback.

Why a second edition?

While the command line as a technology and as a way of w

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.