diffa | A real time health checking tool | Machine Learning library

by lshift Scala Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | diffa Summary

diffa is a Scala library typically used in Artificial Intelligence, Machine Learning, Angular applications. diffa has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Diffa provides real time health checks between arbitrary system components. For more information, please see the website:

Support

Quality

Security

License

Reuse

Support

diffa has a low active ecosystem.

It has 20 star(s) with 13 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 30 open issues and 25 have been closed. On average issues are closed in 47 days. There are 22 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of diffa is current.

Quality

diffa has no bugs reported.

Security

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

License

diffa is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of diffa

Get all kandi verified functions for this library.

diffa Key Features

No Key Features are available at this moment for diffa.

diffa Examples and Code Snippets

No Code Snippets are available at this moment for diffa.

Community Discussions

Trending Discussions on diffa

How to run granger-test for original stationary and transformed stationary time-series in R?

Create a continuous column with repeated cells and calculation in R

Why do DateTime method diff behave differently in PHP (timezone related)?

Merging 2 or more data frames and transposing the result

Working with 2 arrays to populate a third one in numpy

clear interval and animate doesn't work

How does vectorization in MATLAB work?

QUESTION

How to run granger-test for original stationary and transformed stationary time-series in R?

Asked 2020-Sep-20 at 19:27

I have three time-series of daily frequencies named a, b, c. I have transformed the three time series via zoo and then run three tests to check for stationarity also detailed here:

Ljung-Box is <0.01 for all
ADF hovers around 0.01 for all (0.0104, 0.01395, 0.0151), so under 0.05
KPSS test is <0.01 for two and 0.06 for one

This tells me that c is stationary and a and b are not. To transform the two non-stationary time series to stationary, I use diff()

...

ANSWER

Answered 2020-Sep-20 at 19:27

A VECM works with non-stationary series so you will have an order of integration to be stationary I(1).

https://pdf4pro.com/view/vector-error-correction-models-215587.html

Source https://stackoverflow.com/questions/63971928

QUESTION

Create a continuous column with repeated cells and calculation in R

Asked 2020-Jul-27 at 02:08

I try to make some calculations with the following dataset:

...

ANSWER

Answered 2020-Jul-27 at 02:08

This code is a little long, but I believe it is clear and easy to debug/edit.

Source https://stackoverflow.com/questions/63107319

QUESTION

Why do DateTime method diff behave differently in PHP (timezone related)?

Asked 2020-Jun-16 at 16:13

I am looking to understand why this simple DateTime operation (2020-07-01)->diff(2020-07-31) cannot be trusted.

...

ANSWER

Answered 2020-Jun-16 at 16:13

Short answer: yes, it's a bug.

I've simplified your test case to make it more obvious:

Source https://stackoverflow.com/questions/62406036

QUESTION

Merging 2 or more data frames and transposing the result

Asked 2020-Mar-02 at 20:01

I have several DFs derived from a Panda binning process using the below code;

...

ANSWER

Answered 2020-Mar-02 at 19:52

Solution

The core logic: You need to use outer-join on the column 'time' to merge each of the sampled-dataframes together to achieve your objective. Finally resetting the index to the column time completes the solution.

I will use the dummy data I created below to create a reproducible solution.

Note: I have used df as the final dataframe and df0 as the original dataframe. My df0 is your df.

Source https://stackoverflow.com/questions/60493595

QUESTION

Working with 2 arrays to populate a third one in numpy

Asked 2020-Jan-23 at 12:38

I am trying to work with two arrays in a certain way in python. Lets say

...

ANSWER

Answered 2020-Jan-23 at 12:38

Check this question Most efficient way to map function over numpy array . You can create an array of indices np.arange(C.size), make a function with all the logic of combining A, B and C element getting them by index and depending on the size of your arrays choose the fastest method to apply the function.

Source https://stackoverflow.com/questions/59873517

QUESTION

clear interval and animate doesn't work

Asked 2017-Oct-06 at 10:16

Everything works except the marked line. If the line is replaced by the commented one - it works. Any help?

...

ANSWER

Answered 2017-Oct-06 at 10:15

The issue is because you need to clear all the animations which have been queued up on the #eventwrap element before you set the new bottom position in the #evclose event handler. To do that you can use stop(true), like this:

Source https://stackoverflow.com/questions/46603078

QUESTION

How does vectorization in MATLAB work?

Asked 2017-Aug-21 at 10:30

I wonder how MATLAB works with vectorized operations?

...

ANSWER

Answered 2017-Aug-19 at 12:57

MATLAB uses JIT to speed-up computations. I've found no explicit info on JIT, only general suggestions. In my own use cases I prefer thinking of it as Java JIT, since optimization techniques match closely. MATLAB had done 4 major steps in improving performance:

In R13 (2002) JIT was introduced
In R2006b in-place computation without temp storage was introduced, see details on page 7 of the document
In R2007a multithreading (in engine, not in Parallel toolbox) was introduced, in R2008 in was widely adopted
In R2016 was introduced new engine with JIT widely adopted

For little more details pleasee see this blog post, the comments can be really useful. The main thing I got to know is that in newer releases "clean all" removes precompiled in the session code. Yair Altman tinkered JIT and wrote a perfect book on MATLAB performance. Some details on guts and usage of MATLAB JIT are available here. For introduction on performance I'd recommend to start with official manual

Source https://stackoverflow.com/questions/45770057

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

Vulnerabilities

No vulnerabilities reported

Install diffa

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: