IntelligentMachine | 天池工业AI大赛-智能制造质量预测，排名89/2539

by Maicius Python Version: Current License: No License

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

kandi X-RAY | IntelligentMachine Summary

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

IntelligentMachine

Support

Quality

Security

License

Reuse

Support

IntelligentMachine has a low active ecosystem.

It has 21 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of IntelligentMachine is current.

Quality

IntelligentMachine has no bugs reported.

Security

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

License

IntelligentMachine 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

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

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

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

Top functions reviewed by kandi - BETA

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

Read train data
Fill missing NaN values
Calculate correlation coefficient
Remove rows from the dataframe
Removes the data from the dataframe
Calculates the correlation coefficient
Runs an ensemble of features
Train the model using L2L2L2
Create a forest model
Fill missing values
Compute the feature of the model
Change object to float
Wrapper for search_cv
Find the minimum alpha of the curve
Remove the rest of the dataframe
Compute the last ensemble
Remove missing columns from the dataframe
Calculate mean squared error

Get all kandi verified functions for this library.

IntelligentMachine Key Features

No Key Features are available at this moment for IntelligentMachine.

IntelligentMachine Examples and Code Snippets

No Code Snippets are available at this moment for IntelligentMachine.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install IntelligentMachine

You can download it from GitHub.
You can use IntelligentMachine 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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