EventForecast | Time series prediction and text analysis using Keras LSTM | Machine Learning library
kandi X-RAY | EventForecast Summary
kandi X-RAY | EventForecast Summary
EventForecast is a Python library typically used in Artificial Intelligence, Machine Learning, Keras, Neural Network applications. EventForecast has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However EventForecast build file is not available. You can download it from GitHub.
A group data mining project using deep learning (LSTM) aiming at predicting the probability of occurence of particular events and the popularity of events. This project is granted "The Best Data Mining Project Award" of the University of Queensland in 2017.
A group data mining project using deep learning (LSTM) aiming at predicting the probability of occurence of particular events and the popularity of events. This project is granted "The Best Data Mining Project Award" of the University of Queensland in 2017.
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Quality
Security
License
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Support
EventForecast has a low active ecosystem.
It has 27 star(s) with 10 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
EventForecast has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of EventForecast is current.
Quality
EventForecast has 0 bugs and 0 code smells.
Security
EventForecast has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
EventForecast code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
EventForecast is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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EventForecast releases are not available. You will need to build from source code and install.
EventForecast has no build file. You will be need to create the build yourself to build the component from source.
EventForecast saves you 7824 person hours of effort in developing the same functionality from scratch.
It has 16119 lines of code, 89 functions and 54 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed EventForecast and discovered the below as its top functions. This is intended to give you an instant insight into EventForecast implemented functionality, and help decide if they suit your requirements.
- Generate an RNN model
- Extract data from the input line
- Pad data with zero vectors
- Builds training data from a file
- Clean news files
- Load a list of words from a file
- Get urls
- Write the input data to a csv file
- Creates a FP tree from the given dataSet
- Helper function to update the tree
- Generate batch file
- Returns the first part of the story
- Returns the host 9 article
- Returns a formatted string from a list of tags
- Generate training data
- Returns a human - readable string
- Build a dataset from a text file
- Join files together
- R Upgrade the news_ave file
- Create a CNN model
- Get data for a specific attribute
- Returns a host description
- Split a number into a string
- Given a tar file and a tar file and a directory of news_match
- Writes the input data to a csv file
- Plots the diagram of the truth test
- Delete columns in path
- Returns a host - 8 string
Get all kandi verified functions for this library.
EventForecast Key Features
No Key Features are available at this moment for EventForecast.
EventForecast Examples and Code Snippets
No Code Snippets are available at this moment for EventForecast.
Community Discussions
Trending Discussions on EventForecast
QUESTION
jsx Failed to compile Unexpected Token
Asked 2018-Jun-15 at 02:21
Its difficult for me to understand the errors in this JSX code. It feels like I am applying the correct conventional rules for JSX but below I've posted the feedback that I've received from the console and it seems to stem from the first forEach method inside of the promise.
...ANSWER
Answered 2018-Jun-15 at 02:21This was a simple mistake. I simply needed to add a return in front of queried_events in the mapStateToProps in order for the function to understand what the this.props.queried_events was referring to.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install EventForecast
You can download it from GitHub.
You can use EventForecast like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use EventForecast like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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