product_predict | 能源比赛产能预测

by Timthony Python Version: Current License: No License

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

kandi X-RAY | product_predict Summary

product_predict is a Python library. product_predict has no bugs, it has no vulnerabilities and it has low support. However product_predict build file is not available. You can download it from GitHub.

能源比赛产能预测

Support

Quality

Security

License

Reuse

Support

product_predict has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

product_predict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of product_predict is current.

Quality

product_predict has no bugs reported.

Security

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

License

product_predict does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

product_predict has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Do LSTM regression
Save predictions to a csv file
Calculate training and test features
Perform a CNV loop
Mean distance between predictions and target
Load data from files_to_use
Load a GEFS file
Get all predictors
Get predictor
Builds the splines from the data
Compute the spline
Saves a sample submission
Calculate the daily mean of a grid
Load Mesonet data
Run GradientBoosting Regressor
Load data from file
Split times and data
Read train csv file
Load data from CSV file

Get all kandi verified functions for this library.

product_predict Key Features

No Key Features are available at this moment for product_predict.

product_predict Examples and Code Snippets

No Code Snippets are available at this moment for product_predict.

Community Discussions

No Community Discussions are available at this moment for product_predict.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install product_predict

You can download it from GitHub.
You can use product_predict 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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