isotree | outlier detection similarity NA imputation | Predictive Analytics library

by david-cortes C++ Version: 0.6.1.post4 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | isotree Summary

isotree is a C++ library typically used in Analytics, Predictive Analytics applications. isotree has no vulnerabilities, it has a Permissive License and it has low support. However isotree has 11 bugs. You can download it from GitHub.

Isolation Forest is an algorithm originally developed for outlier detection that consists in splitting sub-samples of the data according to some attribute/feature/column at random. The idea is that, the rarer the observation, the more likely it is that a random uniform split on some feature would put outliers alone in one branch, and the fewer splits it will take to isolate an outlier observation like this. The concept is extended to splitting hyperplanes in the extended model (i.e. splitting by more than one column at a time), and to guided (not entirely random) splits in the SCiForest model that aim at isolating outliers faster and finding clustered outliers. Note that this is a black-box model that will not produce explanations or importances - for a different take on explainable outlier detection see OutlierTree.

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Support

isotree has a low active ecosystem.

It has 82 star(s) with 21 fork(s). There are 10 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 0 open issues and 27 have been closed. On average issues are closed in 21 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of isotree is 0.6.1.post4

Quality

isotree has 11 bugs (2 blocker, 0 critical, 3 major, 6 minor) and 96 code smells.

Security

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

isotree code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

isotree is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

isotree releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 3698 lines of code, 63 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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isotree Key Features

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isotree Examples and Code Snippets

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Community Discussions

Trending Discussions on Predictive Analytics

will TensorFlow utilize GPU for predictive Analysis?

Restructuring Pandas Dataframe for large number of columns

Display data from two json files in react native

QUESTION

will TensorFlow utilize GPU for predictive Analysis?

Asked 2020-Nov-21 at 21:35

GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, what if I am using machine learning for predictive Analytics? do libraries like TensorFlow utilize the GPU? or they use only CPU? or can I choose which processing unit to use? whats the deal here?

note: predictive Analysis requires no graphics processing.

...

ANSWER

Answered 2020-Nov-21 at 21:35

The short answer: yes, it will! The slightly longer answer:

The computation that happens in the GPU in any of the machine learning frameworks that support GPUs is not limited to graphical processing. For instance, if your model is a simple logistic regression, a framework such as TensorFlow will run it on the GPU if properly configured.

The advantage of GPUs for machine learning is that training big neural networks benefits greatly from the high level of parallelism that the GPUs offer.

If you want to know more about this, I'd recommend you start here or here.

some things to consider:

how much a model will benefit from running in the GPU will depend on how much it will benefit from parallel computation in general.
Deep Learning models can be applied to predictive analytics, as well as more classical machine learning models. Bear in mind that neural nets are possibly the category of models that will benefit inherently from the GPU (see links above).
Even though running models using GPUs (or even more specialised hardware) can bring benefits, I would suggest that you don't choose a framework and, especially, don't choose an algorithm based solely on the fact that it will benefit from parallelism, but rather look at how appropriate a given algorithm is for the data you have.

Source https://stackoverflow.com/questions/64948197

QUESTION

Restructuring Pandas Dataframe for large number of columns

Asked 2020-Nov-01 at 19:39

I have a pandas dataframe which is a large number of answers given by users in response to a survey and I need to re-structure it. There are up to 105 questions asked each year, but I only need maybe 20 of them.

The current structure is as below.

What I want to do is re-structure it so that the row values become column names and the answer given by the user is then the value in that column. In a picture (from Excel), what I want is the below (I know I'll need to re-name my columns, but that's fine once I can create the structure in the first place):

Is it possible to re-structure my dataframe this way? The outcome of this is to use some predictive analytics to predict a target variable, so I need to re-strcture before I can use Random Forest, kNN, and so on.

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ANSWER

Answered 2020-Nov-01 at 19:39

You might want try pivoting your table:

Source https://stackoverflow.com/questions/64630691

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install isotree

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Support

Python: documentation is available at ReadTheDocs.R: documentation is available internally in the package (e.g. help(isolation.forest)) and in CRAN.C++: documentation is available in the public header (include/isotree.hpp) and in the source files. See also the header for the scikit-learn-like interface (include/isotree_oop.hpp).C: interface is not documented per-se, but the same documentation from the C++ header applies to it. See also its header for some non-comprehensive comments about the parameters that functions take (include/isotree_c.h).Ruby: see external repository with wrapper for the syntax and the Python docs for details about the parameters.

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