ctree | A Christmas tree right from your terminal | Command Line Interface library

by Matt-Gleich Go Version: v1.0.0 License: MIT

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

kandi X-RAY | ctree Summary

ctree is a Go library typically used in Utilities, Command Line Interface, Nodejs, Electron applications. ctree has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A Christmas tree right from your terminal!.

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Support

ctree has a low active ecosystem.

It has 30 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

ctree has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ctree is v1.0.0

Quality

ctree has 0 bugs and 0 code smells.

Security

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

ctree code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ctree is licensed under the MIT License. This license is Permissive.

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

Reuse

ctree releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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ctree Key Features

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ctree Examples and Code Snippets

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Community Discussions

Trending Discussions on ctree

How to plot a conditional inference tree on random dataset?

Building a model with a reactive formula in shiny using selected inputs

surrogate splitting with Model-based Recursive Partitioning (partykit R)

Shiny does not show the tables

Two different settings and have results side by side in Shiny

Why ctree is only returning a single terminal node in this case?

Ctree R function is not working with my for loop

Convert csv file to json dictionary

Grid Search to find the best parameters for decision tree classification

Why second debugger inside Ajax don't work while testing in Chrome?

QUESTION

How to plot a conditional inference tree on random dataset?

Asked 2022-Feb-17 at 22:40

I need to plot a conditional inference tree. I have selected the party::ctree() function. It works on the iris dataset.

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ANSWER

Answered 2022-Feb-17 at 22:40

In each node (including the root node), ctree() conducts an independence test for the dependent variable (problem in your random data) and each of the explanatory variables (age, gender, smoker, before, after). It computes the p-value for each of of the tests and selects the explanatory variable with the lowest p-value for splitting. But only if that p-value is significant at a certain significance level (adjusted for testing multiple explanatory variables). In your data this is not the case because, in fact, the dependent variable has been sampled independently from the explanatory ones. Therefore, the algorithm stops and does not split the root node.

Remarks: It is recommended to use the successor package partykit rather than party for fitting ctree(). See also the accompanying vignette("ctree", package = "partykit") for further details.

Source https://stackoverflow.com/questions/71157569

QUESTION

Building a model with a reactive formula in shiny using selected inputs

Asked 2021-Dec-15 at 13:49

I have a problem with object 'input' not found in formula. When I try to use input of selectInput, it throws me this error. T tried everything, but nothing helps. Can someone help me with this issue please ?

SERVER

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ANSWER

Answered 2021-Dec-15 at 13:49

This is how to update choices of selectInput according to the current value of the available variables of the input data frame (outVar in your case). Then, the selected choices will be used as response and predictor variables in a reactive model:

Source https://stackoverflow.com/questions/70363411

QUESTION

surrogate splitting with Model-based Recursive Partitioning (partykit R)

Asked 2021-Oct-11 at 22:56

I am estimating a simple lmtree model using partykit library on R. In this estimation I have a dependent variable y, an explanatory variable x, and a set of partitioning variables z.

Some of my partitioning variables have a high quantity of missing values, and I noticed that the final estimated model sample size is net of all the missing values in those few categories. This implies that, as far as at least one of the partitioning variables have a missing value in my data frame, the entire row is removed from the estimation and I lose the information provided by all the rest of non-missing partitioning variables.

To solve this problem in more traditional conditional inference trees estimations is used the surrogate splitting (for example, with ctree_control function from partykit you can select the maxsurrogate performed in the ctree estimation).

Is it possible to perform surrogate splitting also in lmtree (model-based recursive partitioning)?

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ANSWER

Answered 2021-Oct-11 at 22:56

At the moment the partykit implementation of mob (and hence lmtree and glmtree) does not provide surrogate splits yet.

We are working on a new reimplementation where both ctree and mob can be used with surrogate variables and both can be used in the background for lmtree and glmtree etc.

For now the best solution when you need model-based recursive partitioning with surrogate splits is to use ctree with a custom model-based ytrafo function. This will use the CTree algorithm in the background (rather than MOB) but these often yield rather similar results. From an applied perspective the more important difference is that lmtree provides various convenience features, especially for plot and predict, that ctree does not have.

Source https://stackoverflow.com/questions/69479665

QUESTION

Shiny does not show the tables

Asked 2021-May-28 at 03:10

I am trying to make a shiny app and I have a problem while I want it to return two tables (or sometimes plots) with the same codes and different input values. Here is a sample of codes. If you run the codes you can see it just returns one of the tables.

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ANSWER

Answered 2021-May-28 at 03:10

I see two problems with your code;

You are missing tabsetPanel in here, where it should be:

Source https://stackoverflow.com/questions/67724310

QUESTION

Two different settings and have results side by side in Shiny

Asked 2021-May-26 at 10:19

I am trying to display multiple columns with multiple input options in Shiny. In the following codes, I can select one option for ctree depth and plot the tree as well as the data table. Now, I want to compare that with another depth input. How can I duplicate the results for another depth (such as depth = 2) and plot it next to the existing plot? I want something like the picture I show here image. Any help would be appreciated.

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ANSWER

Answered 2021-May-26 at 10:19

You can use the width and column to achieve that. I used the dataset iris for my example as yours was not reproducible. Inside the function, width will control the row width, and column will control column width. Both widths go from 1 to 12. Divide 12 by the number of columns you wish in that row :

Source https://stackoverflow.com/questions/67699881

QUESTION

Why ctree is only returning a single terminal node in this case?

Asked 2021-May-16 at 10:22

Introduction

I'm learning the basics of AI. I have created a .csv file with random data to test Decision Trees. I'm currently using R in Jupyther Notebook.

Problem

Temperature, Humidity and Wind are the variables which determine if you are allowed to fly or not.

When I execute ctree(vuelo~., data=vuelo.csv) the output it's just a single node when I was expecting a full tree with the variables (Temperatura, Humdedad, Viento), as I resolved on paper.

Snippet of the result

The data used is the next table:

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ANSWER

Answered 2021-May-16 at 10:22

Answer

ctree only creates splits if those reach statistical significance (see ?ctree for the underlying tests). In your case, none of the splits do so, and therefore no splits are provided.

In your case, you could force a full tree by messing with the controls (see ?ctree and ?ctree_control), e.g. like this:

Source https://stackoverflow.com/questions/67545994

QUESTION

Ctree R function is not working with my for loop

Asked 2021-Apr-25 at 22:34

I wanted to make a list for for loop, than I wanted to use it for ctree like below. but I couldn't. I am getting, some errors like "character is not supported" even I change the list to factor

I want to change val variable, with the y list, for for loop.

Is there anyway to make it work?

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ANSWER

Answered 2021-Apr-25 at 22:34

The formula should be constructed either with paste or reformulate. In addition, the 'ctree_model' for storing the output can be a list with each element of list stores the model that corresponds to the 'val' of x instead of overriding

Source https://stackoverflow.com/questions/67257668

QUESTION

Convert csv file to json dictionary

Asked 2021-Apr-23 at 15:01

i'm trying to convert a csv file to a json dictionary using python but i have zero experience to manipulating json file.

csv sample:

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ANSWER

Answered 2021-Apr-23 at 15:01

Try this for convert in json VIA:

Source https://stackoverflow.com/questions/67215282

QUESTION

Grid Search to find the best parameters for decision tree classification

Asked 2021-Feb-13 at 17:45

I have a dataset, whose Target variable is Target. I splitted the dataset into the Training set and Test set and I applied the decision tree classification:

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ANSWER

Answered 2021-Feb-13 at 14:23

set.seed(123)
classifier = train(form = Target ~ ., 
                   data = training_set, 
                   method = 'ctree',
                   tuneGrid = data.frame(mincriterion = seq(0.01,0.99,length.out = 100)),
                   trControl = trainControl(method = "boot",
                                            summaryFunction = defaultSummary,
                                            verboseIter = TRUE))

Source https://stackoverflow.com/questions/66184113

QUESTION

Why second debugger inside Ajax don't work while testing in Chrome?

Asked 2021-Jan-19 at 20:13

I created an Ajax call & tried to debug its success & failure in chrome using debugger;.

The first debugger statement works properly but the flow is not stopping at the second debugger statement and instead I see following in sources panel:

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ANSWER

Answered 2021-Jan-19 at 20:12

The issue is because the submit event fires on the form element, not the button you've selected.

In fact the entire submit handler assumes that this refers to the form element, given you use of attr('action') and passing the reference to the FormData() constructor.

Also note that if you're sending FormData in the AJAX request then you will also need to include processData: false and contentType: false in the AJAX options.

With all that said, try this:

Source https://stackoverflow.com/questions/65798614

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