Currently register looks like:

   private static <T> void register(Map<T, T> substitutions, T annotated, T original, T target) {
        if (annotated != null) {
            guarantee(!substitutions.containsKey(annotated) || substitutions.get(annotated) == original || substitutions.get(annotated) == target, "Already registered: %s", annotated);
            substitutions.put(annotated,

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

Description of the problem

As of the changes in #3160 , builds of the CRAN version of the R package with gcc now raise "unknown pragma" warnings.

CRAN does not allow the use of -Wunknown-pragmas to suppress such warnings, so we remove them with sed when building the R package.

The "bug" here is that LightGBM's CI did not catch this. That should also be fixed.

How to fix thi

Hi,

I'm considering upgrading prophet from v0.6 to v0.7.1 but before doing so it'd be helpful to know exactly what the changes are about.
I couldn't find the changelog for either v0.7 or v0.7.1 on https://github.com/facebook/prophet/releases unfortunately.
Is it possibly reported somewhere else?

On a different note, I noticed the new code uses tqdm when running cross_validation with `pa

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.