ellen | linear genetic programming system for symbolic regression
kandi X-RAY | ellen Summary
kandi X-RAY | ellen Summary
ellenGP uses a stack-based, syntax-free, linear genome for constructing candidate equations. It is built to include different evolutionary methods for system identification adapted from literature. The options include normal tournament selection, deterministic crowding, and age-pareto fitness selection. All algorithm choices are mangaged by one parameter file.
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ellen Examples and Code Snippets
Community Discussions
Trending Discussions on ellen
QUESTION
I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name
, the ministers position
, the prestige
of that position, and the year
in which the minister had that given position.
My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name
and year
). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.
I want to create a dataset, where all the rows are unique combinations of name
and year
. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige
column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2
and prestige2
. In the example with Bertel Haarder the data should look like this:
(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)
Here's the dataset for creating a reproducible example with observations from 2010-2020:
...ANSWER
Answered 2021-Jun-08 at 14:04Reshape the data to wide format twice, once for position
and the other for prestige_1
, and join the two results.
QUESTION
I need to daily ingest a CSV file into a pandas dataframe
. The CSV has several thousand rows but every day I get a few records with more columns than expected. Let me give you an example. Take the following CSV
:
ANSWER
Answered 2021-Apr-30 at 14:19If you are okay with processing the bad records later, you can use error_bad_lines
and warn_bad_lines
while reading the csv
file and save the row number of skipped records to a log file like this:
QUESTION
I'm trying to filter a nested JSON file. I want to create a new json file with fitering "classes" and "id". The source JSON file :
...ANSWER
Answered 2021-May-24 at 18:53As the loaded json data is just nested lists and dicts, you can use the ordinary list/dict operations; in particular, list comprehension is useful.
QUESTION
I am writing a class (s3) that should use a constructor to create an instance for the class, at least for a start. The constructor junction(name, left, right)
. Where name
is the description of a node in a classification tree.
So I have a class called junction
having 3 entries as indicated above.
ANSWER
Answered 2021-May-23 at 08:30If you change your consturctor to something like
QUESTION
My Table
...ANSWER
Answered 2021-May-11 at 01:09Well, one method is to use order by
and limit the results to one row:
QUESTION
I have a MongoDB data that looks like this:
...ANSWER
Answered 2021-Apr-21 at 03:44give this pipeline a shot. if that's not the expected result, let me know the exact shape of the output you need.
QUESTION
I have a small dataset that looks like this:
...ANSWER
Answered 2021-Apr-16 at 18:03mydata$Value2 <- ave(mydata$Value, mydata$Name, FUN = sum)
with(subset(mydata, Sex == "M"), Name[order(-Value2, -Value, Name)])
# [1] "Mark" "Luisa" "Randy" "Ellen" "Al"
mydata$Name <- factor(mydata$Name, levels = with(subset(mydata, Sex == "M"), Name[order(-Value2, -Value, Name)]))
str(mydata)
# 'data.frame': 10 obs. of 4 variables:
# $ Name : Factor w/ 5 levels "Mark","Luisa",..: 5 5 4 4 2 2 1 1 3 3
# $ Sex : chr "M" "F" "M" "F" ...
# $ Value : num 0 1 2 3 6 4 7 3 5 1
# $ Value2: num 1 1 5 5 10 10 10 10 6 6
QUESTION
i have three tsv files.
file 1:
...ANSWER
Answered 2021-Mar-11 at 09:56You first need to read all your TSV files and count each occurrence of the first two columns. Python's Counter()
can be used for this (which is based on a dictionary).
Whilst reading each row in, save it in a data
dictionary where the keys are the filenames and the contents are lists of the first two values along with the raw rows. A defaultdict()
is used to avoid having to add an entry if it doesn't already exist before appending a new entry.
After reading everything in, counts
can now be used to determine if any given row has been seen only once, other values can be skipped over.
QUESTION
I've looked at similar cases but they are not the same.
I've got a pandas frame. Each row is a study. In a particular column, I need to find out how many times a specific word, i.e. bed, comes after another specific word, i.e. home.
I need to find out how many cases in the pandas frame this situation happens.
I've seen questions that ask about extracting whatever text comes after a specific word but not a case like this. I'm assuming this might be regex but can't figure out how to do it.
My code to create a sample dataframe.
...ANSWER
Answered 2021-Mar-07 at 02:32To find the number of times that "bed" appears after "home" in the whereabouts
column, use the following code.
The function second_after
returns True
if
the input text
contains the second
word after the first
word (rfind
finds the last second
word). This can be applied to the whereabouts
column
of the dataframe, generating a new column results
for easy cross-checking.
Finally, the method .sum
is applied to the results
column, counting all the
True
values ("like 1") and not False
values ("like 0"):
QUESTION
Suppose I have 3 tables employee
, child
and employee_child
.
The first table contains id
and name
columns, the second contains id
and name
as well, and in the last contains id
, employee_id
, child_id
.
Those tables (employee
and child
) are associated in the table employee_child
.
To help, I let these queries to populate those tables:
...ANSWER
Answered 2021-Mar-08 at 09:26FOR JSON AUTO
seems to get you exactly what you want:
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Install ellen
[boost libraries](http://www.boost.org) - a set of multi-purpose c++ libraries, needed for RunTrialsMPI only
[eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page) - a c++ template library for linear algebra
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