CSC311-2020F | Course Assignments for UofT CSC311 Fall

by johnsoong216 Python Version: Current License: No License

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

kandi X-RAY | CSC311-2020F Summary

CSC311-2020F is a Python library. CSC311-2020F has no bugs, it has no vulnerabilities and it has low support. However CSC311-2020F build file is not available. You can download it from GitHub.

Course Assignments for UofT CSC311 Fall 2020

Support

Quality

Security

License

Reuse

Support

CSC311-2020F has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

CSC311-2020F has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CSC311-2020F is current.

Quality

CSC311-2020F has 0 bugs and 0 code smells.

Security

CSC311-2020F has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

CSC311-2020F code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CSC311-2020F 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

CSC311-2020F releases are not available. You will need to build from source code and install.

CSC311-2020F has no build file. You will be need to create the build yourself to build the component from source.

It has 939 lines of code, 78 functions and 17 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed CSC311-2020F and discovered the below as its top functions. This is intended to give you an instant insight into CSC311-2020F implemented functionality, and help decide if they suit your requirements.

Train a model .
Run a logistic regression .
Runs the logistic regression .
Selects the training and validation accuracy .
Calculate the threshold for a given model .
Calculates the derivative of the gradient of a function .
The main function .
Logistic regression .
Calculate the penalized logistic penalty .
Evaluate an individual .

Get all kandi verified functions for this library.

CSC311-2020F Key Features

No Key Features are available at this moment for CSC311-2020F.

CSC311-2020F Examples and Code Snippets

No Code Snippets are available at this moment for CSC311-2020F.

Community Discussions

No Community Discussions are available at this moment for CSC311-2020F.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CSC311-2020F

You can download it from GitHub.
You can use CSC311-2020F 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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