sklearn-predict | 机器学习数据，预测趋势并画图 | Machine Learning library

by zhengze Python Version: Current License: MIT

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kandi X-RAY | sklearn-predict Summary

sklearn-predict is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy, Pandas applications. sklearn-predict has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However sklearn-predict build file is not available. You can download it from GitHub.

机器学习数据，预测趋势并画图

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sklearn-predict has a low active ecosystem.

It has 15 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

sklearn-predict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sklearn-predict is current.

Quality

sklearn-predict has no bugs reported.

Security

sklearn-predict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sklearn-predict is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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sklearn-predict releases are not available. You will need to build from source code and install.

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

Main function .
Read data from file .

Get all kandi verified functions for this library.

sklearn-predict Key Features

No Key Features are available at this moment for sklearn-predict.

sklearn-predict Examples and Code Snippets

No Code Snippets are available at this moment for sklearn-predict.

Community Discussions

Trending Discussions on sklearn-predict

Reattach ID column to data after passing through sklearn model

QUESTION

Reattach ID column to data after passing through sklearn model

Asked 2019-Aug-08 at 08:29

I am working on trying to create a predictive regression model that forecasts the completion date of a number of orders.

My dataset looks like:

...

ANSWER

Answered 2019-Aug-08 at 08:29

As you're using pandas dataframes the index is retained in all your x/y train/test datasets, so you can re-assemble it after you applied the model. We just need to save the order numbers before dropping that column: order_numbers = data['ORDER_NUMBER']. The predictions rf_predictions are returned in the same order as the input data to rf.predict(X_test), i.e. rf_predictions[i] belongs to X_test.iloc[i].

This creates your required result dataset:

Source https://stackoverflow.com/questions/57400005

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

Vulnerabilities

No vulnerabilities reported

Install sklearn-predict

You can download it from GitHub.
You can use sklearn-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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