carl | Likelihood-free inference toolbox | Machine Learning library

by diana-hep Python Version: v0.2 License: BSD-3-Clause

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | carl Summary

carl is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. carl has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

carl is a toolbox for likelihood-free inference in Python. The likelihood function is the central object that summarizes the information from an experiment needed for inference of model parameters. It is key to many areas of science that report the results of classical hypothesis tests or confidence intervals using the (generalized or profile) likelihood ratio as a test statistic. At the same time, with the advance of computing technology, it has become increasingly common that a simulator (or generative model) is used to describe complex processes that tie parameters of an underlying theory and measurement apparatus to high-dimensional observations. However, directly evaluating the likelihood function in these cases is often impossible or is computationally impractical.

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Quality

Security

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Support

carl has a low active ecosystem.

It has 56 star(s) with 21 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 22 have been closed. On average issues are closed in 27 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of carl is v0.2

Quality

carl has no bugs reported.

Security

carl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

carl is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

carl releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed carl and discovered the below as its top functions. This is intended to give you an instant insight into carl implemented functionality, and help decide if they suit your requirements.

Print HTML for a module
Return the full path of a module
Predict the value of T
Transform X to X
Predict for examples
Compute the probability of each classifier
Check if a module exists
Print to stderr
Clones an estimator
Clone the estimator
Negative log - likelihood function
Compute the pdf of the model
Output a notebook
Print to stdout

Get all kandi verified functions for this library.

carl Key Features

No Key Features are available at this moment for carl.

carl Examples and Code Snippets

carl,Citation

Python

Lines of Code : 8

License : Permissive (BSD-3-Clause)

Copy

@misc{carl,
  author       = {Gilles Louppe and Kyle Cranmer and Juan Pavez},
  title        = {carl: a likelihood-free inference toolbox},
  month        = mar,
  year         = 2016,
  doi          = {10.5281/zenodo.47798},
  url          = {http:/

carl,Installation

Python

Lines of Code : 3

License : Permissive (BSD-3-Clause)

Copy

git clone https://github.com/diana-hep/carl.git
cd carl
python setup.py install

Community Discussions

Trending Discussions on carl

Combine values from duplicated rows into one based on condition (in R)

React losing checked while filtering

Adding a new column to a Pandas DataFrame by comparing two columns to two similar columns in a different Dataframe

Iterating over large dataframe to write individual Excel spreadsheets

How to have multiple values for each row in pandas

How do I get the sums of the rows of a 2D array relative to the elements of a 1D array?

Replacing the word from specific string from a file

Wrong number of data frames when identifying all possible combinations for a certain variable

Sorting a 2D string array in c

Snowflake row generator to insert random adhoc data in table

QUESTION

Combine values from duplicated rows into one based on condition (in R)

Asked 2021-Jun-15 at 16:51

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 14:04

Reshape the data to wide format twice, once for position and the other for prestige_1, and join the two results.

Source https://stackoverflow.com/questions/67888166

QUESTION

React losing checked while filtering

Asked 2021-Jun-12 at 10:04

I cannot figure out how to add 'active' into the state of users. For the sake of posting this here I hardcoded some users in the state, but they're supposed to be fetched from an API - and this doesn't come with 'active'. I need to be able to mark the checkboxes so that the specific user becomes active, also if active - it has to stay active when doing searches in the list through the text-input, so it doesn't reset. With what I wrote I am getting undefined for user.active. Any suggestions?

App.js

...

ANSWER

Answered 2021-Jun-12 at 10:04

A few things here:

I think you should map the user after the fetch to add the active with a default value, so it isn't undefined in any case:

Source https://stackoverflow.com/questions/67943853

QUESTION

Adding a new column to a Pandas DataFrame by comparing two columns to two similar columns in a different Dataframe

Asked 2021-Jun-08 at 04:28

I want to add a new column to Pandas DataFrame by taking the values in two of the columns and comparing both of them to values that appear in the same order in a different dataframe.

Example:

...

ANSWER

Answered 2021-Jun-07 at 17:55

You can construct the "real" column using cross product between the two dataframes and then merge back to names1:

Source https://stackoverflow.com/questions/67876340

QUESTION

Iterating over large dataframe to write individual Excel spreadsheets

Asked 2021-Jun-07 at 14:59

I want to write unique spreadsheets based on the MVNDR number you see below

Current Data Strucutre/Data Frame

...

ANSWER

Answered 2021-Jun-07 at 14:59

I've found what the problem is, and I should have spotted it earlier.

Since there's now more than one record for each group x$Name returns a vector with the name repeated for each record.

We only need the name and we can easily extract that.

Here's the updated code.

Source https://stackoverflow.com/questions/67873269

QUESTION

How to have multiple values for each row in pandas

Asked 2021-Jun-04 at 17:07

So let's I have a table with these values

Name Transportation Mike air Sarah car Trevor air Carl car

I'd like each person to use each transportation mode so an outcome as such

Name Transportation Mike air Mike car Sarah air Sarah car Trevor air Trevor car Carl air Carl car

I tried creating a list then exploding the values but I was having issues adding a list as column values. What's the best way to go about this?

...

ANSWER

Answered 2021-Jun-04 at 16:21

Let us do

Source https://stackoverflow.com/questions/67840690

QUESTION

How do I get the sums of the rows of a 2D array relative to the elements of a 1D array?

Asked 2021-Jun-03 at 06:04

I'm having an isse with a code that computes the number of hours worked for a set of hourly employees, I can't get the information to line up.

I have the basic information of the code, as shown here:

...

ANSWER

Answered 2021-Jun-02 at 05:08

The problem is in this method:

Source https://stackoverflow.com/questions/67799104

QUESTION

Replacing the word from specific string from a file

Asked 2021-Jun-02 at 23:10

I have a file with pipe separated values. I want to replace ₩ with W.

...

ANSWER

Answered 2021-Jun-02 at 17:48

Using sed

If you want to replace all instances —

Source https://stackoverflow.com/questions/67809983

QUESTION

Wrong number of data frames when identifying all possible combinations for a certain variable

Asked 2021-May-31 at 18:26

I have the following data frame

...

ANSWER

Answered 2021-May-31 at 18:26

The m in combn determines the number of combinations as well

Source https://stackoverflow.com/questions/67778293

QUESTION

Sorting a 2D string array in c

Asked 2021-May-28 at 04:45

I am trying to sort this file that has this information below

...

ANSWER

Answered 2021-May-28 at 04:45

Below part is problematic in some ways:

Source https://stackoverflow.com/questions/67732772

QUESTION

Snowflake row generator to insert random adhoc data in table

Asked 2021-May-26 at 16:26

I have a table t1 with one record.

...

ANSWER

Answered 2021-May-26 at 16:26

(Edited with usage instructions below) The Gods of SQL Purity may scorn me for this answer but I propose creating a Javascript UDF that takes the output of GET_DDL, parses the results and returns to a SQL statement, which you can then copy/paste and run.

Here is one such UDF which worked against the table I tried it on by select prepare_seed_stmt('my_tbl', get_ddl('table', 'my_tbl'));

Pay close attention to the expressions object to make sure it does what you want and since many datatypes are missing (like VARIANT, etc)

Source https://stackoverflow.com/questions/67697415

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install carl

The following dependencies are required:.
Numpy >= 1.11
Scipy >= 0.17
Scikit-Learn >= 0.18-dev
Theano >= 0.8

Support

Extensive details regarding likelihood-free inference with calibrated classifiers can be found in the companion paper "Approximating Likelihood Ratios with Calibrated Discriminative Classifiers", Kyle Cranmer, Juan Pavez, Gilles Louppe. http://arxiv.org/abs/1506.02169.

Find more information at: