coreg | training Regressors semi-supervised regression | Machine Learning library

by nealjean Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | coreg Summary

coreg is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. coreg has no bugs, it has no vulnerabilities and it has low support. However coreg build file is not available. You can download it from GitHub.

Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from [Semi-Supervised Regression with Co-Training] (by Zhou and Li (IJCAI, 2005).

Support

Quality

Security

License

Reuse

Support

coreg has a low active ecosystem.

It has 40 star(s) with 18 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of coreg is current.

Quality

coreg has 0 bugs and 0 code smells.

Security

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

coreg code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

coreg 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

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

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

coreg saves you 96 person hours of effort in developing the same functionality from scratch.

It has 246 lines of code, 20 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Find the points to add .
Evaluate the mean squared error .
Splits the data .
Runs a single iteration .
Compute the delta of the covariance matrix .
Load data .

Get all kandi verified functions for this library.

coreg Key Features

No Key Features are available at this moment for coreg.

coreg Examples and Code Snippets

No Code Snippets are available at this moment for coreg.

Community Discussions

Trending Discussions on coreg

GPflow multi-output change-point

What does `NUMERIC maxsize 256` mean in mysql?

Convert a string extracted from a dict, to a float

QUESTION

GPflow multi-output change-point

Asked 2021-Jul-01 at 14:12

I would like to construct a multi-output GP, whereby the correlation structure between outputs contains a changepoint. The change should only occur in the correlation structure of the Coregion kernel, whereas the kernels themselves (i.e., lengthscale and family of kernel) should remain the same before and after the change.

Below, I include examples (from the GPflow documentation [1., 2.], and my own [3.]) which:

have correlation structure between outputs, but no changepoints,
demonstrates how to construct changepoints in GPflow,
my attempt at a correlation structure between outputs which contains a change point.

...

ANSWER

Answered 2021-Jul-01 at 14:12

Unfortunately, there is currently no MultiOutput support for ChangePoint kernels in GPflow. In your case, this essentially means that the ChangePoint kernel has no idea on what dimension of your outputs to act, even though the kernels that constitute it have their active_dims parameters set.

I have a Pull Request in the works to implement this functionality that you can find here: https://github.com/GPflow/GPflow/pull/1671

The change proposed in that pull request simply would require you to add a switch_dim flag in your call to the ChangePoint kernel, like so:

Source https://stackoverflow.com/questions/68209521

QUESTION

What does `NUMERIC maxsize 256` mean in mysql?

Asked 2021-Feb-22 at 13:07

Here is a data fields definition:

Field Name Field Description Field Type (format) Max Size May be NULL Key tag The unique identifier (name) for a tag in a specific taxonomy release. ALPHANUMERIC 256 No * version For a standard tag, an identifier for the taxonomy; otherwise the accession number where the tag was defined. ALPHANUMERIC 20 No * ddate The end date for the data value, rounded to the nearest month end. DATE (yyyymmdd) 8 No * qtrs The count of the number of quarters represented by the data value, rounded to the nearest whole number. “0” indicates it is a point-in-time value. NUMERIC 8 No * uom The unit of measure for the value. ALPHANUMERIC 20 No * coreg If specified, indicates a specific co-registrant, the parent company, or other entity (e.g., guarantor). NULL indicates the consolidated entity. NUMERIC 256 Yes * value The value. This is not scaled, it is as found in the Interactive Data file, but is limited to four digits to the right of the decimal point. NUMERIC(28,4) 16 Yes footnote The text of any superscripted footnotes on the value, as shown on the statement page, truncated to 512 characters, or if there is no footnote, then this field will be blank. ALPHANUMERIC 512 Yes

The field definition is SEC U.S. Securities and Exchange Commission's official material:

sec official material

For coreg ,it's field type is numeric ,max size 256 ,how to write the create statement?

...

ANSWER

Answered 2021-Feb-22 at 11:48

In MySQL the maximum number of digits for decimal (numeric) type is 65.

So, you can't technically define a column as NUMERIC(256).

11.1.3 Fixed-Point Types (Exact Value) - DECIMAL, NUMERIC

The maximum number of digits for DECIMAL is 65

It doesn't really make sense to me to have the "the parent company, or other entity (e.g., guarantor)" defined as a number, even as a really long number.

Maybe there is a typo and really it should read "ALPHANUMERIC", i.e. a text value.

If this value will never be interpreted as a number and there will never be attempts to make some calculations with this number (as the field description implies), then it should be stored as a text (varchar(256)); maybe with some extra checks that you can store only digits 0-9 and not any symbol there.

Source https://stackoverflow.com/questions/66315084

QUESTION

Convert a string extracted from a dict, to a float

Asked 2020-Jul-21 at 18:38

I have a text file that contains rows like these:

...

ANSWER

Answered 2020-Jul-17 at 10:17

Thanks to Nafiz Ahmed . The problem was the text file header:

Source https://stackoverflow.com/questions/62951674

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

Vulnerabilities

No vulnerabilities reported

Install coreg

You can download it from GitHub.
You can use coreg 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 .

Find more information at: