pythia | Pythia , for Solar Active Region Data Analysis | Data Visualization library

by Raahul-Singh Python Version: Current License: MIT

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

kandi X-RAY | pythia Summary

pythia is a Python library typically used in Manufacturing, Utilities, Aerospace, Defense, Analytics, Data Visualization applications. pythia 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.

Space weather studies Sun-Earth interaction events. One of these, is the effect of solar flares have on our civilisation. The forecast of solar flares is not a solved problem, and many approaches have been tried. [Sunspotter] is a citizen science project that asked volunteers to classify solar active regions by their complexity - as it’s believed complexity has a direct relationship with their activity. The goal of this project is to develop a model for forecasting the likelihood that an Active Region on the sun would produce a solar flare in the near future. The dataset used in this project is the [Sunspotter dataset] which includes a complexity score for each AR. It is to be explored if the complexity of the AR corresponds to a higher probability of flare production. In the course of this project, a Search Events object capable of querying HEK and HELIO databases will be created.

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Quality

Security

License

Reuse

Support

pythia has a low active ecosystem.

It has 12 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 21 have been closed. On average issues are closed in 82 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pythia is current.

Quality

pythia has 0 bugs and 0 code smells.

Security

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

pythia code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pythia 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

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

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

Plot the observations for the given observation date
Download the full disk associated with a given observation date
Get the observations from a hek
Return the nearest observation
Run the game
Compute the score of two images
Compute expected score
Save the rankings table
Get the MDI map for the given time range
Returns a list of timestamps in the time series
Create scheduler
Configure the optimizer
Update the state dictionary
Calculates the rating for a given image
Download the full disk of the MDI file

Get all kandi verified functions for this library.

pythia Key Features

No Key Features are available at this moment for pythia.

pythia Examples and Code Snippets

No Code Snippets are available at this moment for pythia.

Community Discussions

Trending Discussions on pythia

What model does apache tika use internally - TensorflowRESTCaptioner

Feeding example to tf predictor.from_saved_model() for estimator trained with tf hub module

Rails 5.x.x on Heroku (No route matches [GET] /assets)

QUESTION

What model does apache tika use internally - TensorflowRESTCaptioner

Asked 2019-Sep-05 at 08:39

Iam working on an image captioning tool and came across the apache tika

TensorflowRESTCaptioner

and would like to now which model does it use internally and how good are the results when compared with the state of the art right now in the market

pythia - BUTF - FacebookResearch

...

ANSWER

Answered 2019-Sep-05 at 08:39

Following Apache Tika changelog I came to this feature request for image captioning. There, the author stated that they used Google

'show and tell' neural network

mentioned in this blog post.

Also, here is a link to the paper if you want to compare it to the current state of the art methods.

Source https://stackoverflow.com/questions/57801343

QUESTION

Feeding example to tf predictor.from_saved_model() for estimator trained with tf hub module

Asked 2018-Aug-20 at 09:08

I try to export the model for text classification with tf hub modules, and then infer a prediction from it for a single string example using predictor.from_saved_model(). I saw some examples of similar ideas, but still couldn't make it work for the case when using tf hub modules to build features. Here is what I do:

...

ANSWER

Answered 2018-Aug-20 at 09:08

So, all I need was serialized_example = example.SerializeToString() Writing the example on a file requires to start a session before reading it back. Simply serialising is enough:

Source https://stackoverflow.com/questions/51714124

QUESTION

Rails 5.x.x on Heroku (No route matches [GET] /assets)

Asked 2017-Apr-19 at 18:15

I´m new to Rails. Having an issue after deploying to Heroku. All the assets that are indicated in the controller are not working. Locally all works fine.

...

ANSWER

Answered 2017-Apr-09 at 20:03

You must avoid using HTML tags and use helpers instead :

Source https://stackoverflow.com/questions/43310347

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

Vulnerabilities

No vulnerabilities reported

Install pythia

Use git to grab the latest version of Pythia:. Done! In order to enable Pythia to be imported from any location you must make sure that the library is somewhere in your PYTHONPATH environmental variable. For now the easiest thing is to install it locally by running,. from the directory you just downloaded.

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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