ioBroker.swiss-weather-api | Adds Free SRG-SSR Weather API to ioBroker | Predictive Analytics library

by baerengraben JavaScript Version: 2.1.0 License: MIT

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

kandi X-RAY | ioBroker.swiss-weather-api Summary

ioBroker.swiss-weather-api is a JavaScript library typically used in Analytics, Predictive Analytics, React, Nodejs applications. ioBroker.swiss-weather-api has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i iobroker.swiss-weather-api' or download it from GitHub, npm.

Adds Free SRG-SSR Weather API to ioBroker

Support

Quality

Security

License

Reuse

Support

ioBroker.swiss-weather-api has a low active ecosystem.

It has 10 star(s) with 9 fork(s). There are 4 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 1 open issues and 65 have been closed. On average issues are closed in 63 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ioBroker.swiss-weather-api is 2.1.0

Quality

ioBroker.swiss-weather-api has no bugs reported.

Security

ioBroker.swiss-weather-api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ioBroker.swiss-weather-api 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

ioBroker.swiss-weather-api releases are available to install and integrate.

Deployable package is available in npm.

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

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ioBroker.swiss-weather-api Key Features

No Key Features are available at this moment for ioBroker.swiss-weather-api.

ioBroker.swiss-weather-api Examples and Code Snippets

No Code Snippets are available at this moment for ioBroker.swiss-weather-api.

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.

...

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 ioBroker.swiss-weather-api

The first query is made 10s after the adapter was started. After the first start, the query will be executed regularly according to the conifugation parameter (Poll Interval in Minutes).
Get a free accout on https://developer.srgssr.ch/
Go to "My Apps" and create a new App. Here you can choose a Product. "Freemium" is their free product. If you only want to do 50 request per day (every 30min) or/and don't want to pay for more request per day, "Freemium" is what you want to choose. Now, this will create a specific ConsumerKey and ConsumerSecret
Find out Longitude / Latitude (decimal degrees) of the chosen location for which forecast is needed. This information is optional if you have set your location in the ioBroker settings (main settings) (via the map). In this case you could leave the latitude and longitude fields empty. The adapter then takes over the settings of the ioBroker. Latitude and longitude entered in the adapter configuration override the ioBroker settings.
Install this Adapter on ioBroker => This can take several minutes (~7min on a Raspberry Pi 3)
On Adapter Configuration fill in Name of App ConsumerKey of App ConsumerSecret of App Longitude / Latitude of the chosen swiss location for which forecast is needed. => Please use decimal degrees (for example Zürich: 47.36667 / 8.5) Poll Interval in Minutes (By default 30 minutes - 50 Request/Day)

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 .

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