prediction_error | Neural embeddings with negative sampling in Keras

by dimalik Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | prediction_error Summary

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

Neural embeddings with negative sampling in Keras

Support

Quality

Security

License

Reuse

Support

prediction_error has a low active ecosystem.

It has 11 star(s) with 2 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

prediction_error has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of prediction_error is current.

Quality

prediction_error has 0 bugs and 0 code smells.

Security

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

prediction_error code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

prediction_error 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

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

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

prediction_error saves you 41 person hours of effort in developing the same functionality from scratch.

It has 109 lines of code, 15 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Train a corpus from the corpus .
Build the model .
Initialize the WordContextModel .
Iterate over all sequences .
Tokenize the corpus .
Prepare the model .
The size of the corpus .
The path of this object .

Get all kandi verified functions for this library.

prediction_error Key Features

No Key Features are available at this moment for prediction_error.

prediction_error Examples and Code Snippets

No Code Snippets are available at this moment for prediction_error.

Community Discussions

Trending Discussions on prediction_error

Why does @JoinColumn with POJO throw IllegalStateException

Trying to Implement Linear Regression with Stochastic Gradient Descent

Convert RepeatedField to Byte[]

Can someone explain why my matrix subtraction is messing up the index?

Print current data.frame line aka progress in purrr:::pmap

QUESTION

Why does @JoinColumn with POJO throw IllegalStateException

Asked 2021-Apr-27 at 01:41

I have an error when start my Spring Boot Application: java.lang.IllegalStateException: Expected to be able to resolve a type but got null! This usually stems from types implementing raw Map or Collection interfaces!

I created two tables via sql query:

...

ANSWER

Answered 2021-Apr-26 at 06:24

JSONB is not directly supported by Hibernate.

You have to use a converter.

There is a collection of converters in Hibernate Types project: https://github.com/vladmihalcea/hibernate-types

Source https://stackoverflow.com/questions/67261723

QUESTION

Trying to Implement Linear Regression with Stochastic Gradient Descent

Asked 2021-Mar-24 at 02:30

[Dataset]1I'm attempting to implement linear regression for stochastic gradient descent using python. I have the code to enable me do this but for some reason, its triggering an error at "row[column] = float(row[column].strip())"-could not convert string to float: 'C'". Anyone who will assist me troubleshoot this error will be greatly appreciated.

...

ANSWER

Answered 2021-Mar-23 at 16:43

In function load_csv, you are using with open(filename, 'r') as file: But in the next line instead of passing the file object file you pass the reader the string filename, and your dataset is created using this filename string, therefore when you end up trying to convert the letter 'C' to float. Just change the line reader(filename) to reader(file) That should solve your issue.

Source https://stackoverflow.com/questions/66756559

QUESTION

Convert RepeatedField to Byte[]

Asked 2021-Jan-26 at 19:04

Defined a gRPC Python service in a Docker.

The services in my PROTO file:

...

ANSWER

Answered 2021-Jan-26 at 19:04

Meanwhile I figure it out:

Source https://stackoverflow.com/questions/65716836

QUESTION

Can someone explain why my matrix subtraction is messing up the index?

Asked 2020-May-07 at 03:26

So I'm working on a regression model for the boston housing dataset, and for some reason when I try to subtract two 506x1 matrices in my gradient descent algorithm(prediction_error = np.subtract(y,prediction_function) it's giving me a 506x506 matrix(prediction_error). I did the same operation twice before and nothing wrong happened. I tried to use the np.subtract instead of just using the regular minus sign in python, but nothing changed. Can someone help me?

...

ANSWER

Answered 2020-May-06 at 19:29

Your arrays y is of shape (506,) and the other is of shape (506,1) and python broadcast one over the other. Try reshaping them into similar shapes like this:

Source https://stackoverflow.com/questions/61643056

QUESTION

Print current data.frame line aka progress in purrr:::pmap

Asked 2020-Mar-31 at 20:27

I'm trying to understand purrr and I'm currently working with pmap. pmap can be used to call a predefined function and uses the values in a dataframe as arguments to the function call. I would like to know what the current state is, as my data.frames might have several 1000s of rows.

How can I print the current line, that pmap is running on, possibly together with the total length of the data.frame?

I tried to include a counter like in a for loop and also tried to capture the current row using

current <- data.frame(...)

and then row.names(current)

(idea from here: https://blog.az.sg/posts/map-and-walk/)

but in both cases it always prints 1.

Thanks for helping.

For reproducibilty let's use the code from the question that brought me to purrr:::pmap (How to use expand.grid values to run various model hyperparameter combinations for ranger in R):

...

ANSWER

Answered 2020-Mar-31 at 20:27

Since you are already using pmap, the easiest way would just be to pass the rownames as well.

You can do something like

Source https://stackoverflow.com/questions/60954898

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

Vulnerabilities

No vulnerabilities reported

Install prediction_error

You can download it from GitHub.
You can use prediction_error 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: