* Clearer pip install snippet
This simple change may prevent further additions to and discussions in #401 and #1598 and the like.
* Clearer pip install snippet
* Check frequency of data
* If sub-daily, use plot_seasonality()
* Format xticks as weekdays for plot_seasonality()
* Display 8 xticks for weekly component
* add first part on build environment and branching
* add rest of workflow tests-pull-requests-docs etc
* Typos and updates
* Highlight Python and R headings
* Reorder sections and condense material
* Few more enhancements
* Issue #1525: Using m.construct_holiday_dataframe() to make sure 'holidays' is a DataFrame.
* #1525 | issuecomment-639399524 | enhancement: have plotly graph the holiday component consistent with matplotlib.
Co-authored-by: Robin Teuwens <teuwens@electris.lu>
* Add R check to travis
* add install step for R
* only run testsrather than R CMD check
* Fix command
* add line for installing dependencies
* fix syntax error
* update docstring with mdape in list for python perf metric func
* re-run python notebook cell to generate mdape in results table
* remove comment
Co-authored-by: Ben Letham <bletham@gmail.com>
To solve this [issue](https://github.com/facebook/prophet/issues/1437) by @chongdae
Korean lunar calendar which is different from Chinese lunar calendar is added python-holidays package recently.
This commit is about dropping the Korean and KR class in hdays.py file and hdays_part1(holidays) will work for Korean holidays.
```
import fbprophet.hdays as hdays_part2
import holidays as hdays_part1
``
* add test and initial function for mdape in R
* Add separate rolling_median_func and tests
* Modify rolling median function
* fix syntax in rolling median function
* sort by h
* R/diagnostics.R
* update .rd docs and notebook
* Add mdape to performance metrics params docstring
