NDQ | Codes accompanying the paper Learning

by TonghanWang Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | NDQ Summary

NDQ is a Python library. NDQ has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

Support

Quality

Security

License

Reuse

Support

NDQ has a low active ecosystem.

It has 59 star(s) with 14 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 20 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NDQ is current.

Quality

NDQ has 0 bugs and 0 code smells.

Security

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

NDQ code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NDQ is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

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

NDQ saves you 2084 person hours of effort in developing the same functionality from scratch.

It has 4573 lines of code, 315 functions and 52 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Calculate comm beta
Calculate the commentropy beta
Update the target addresses
Run the network
Set up the data
Update data with given data
Check that v is safe reshape
Run the agent
Run the loop
Perform a single agent forward
Select actions based on batch elements
Select a single action
Returns the size of the player
Get config from params
Select an action from the schedule
Print time
Select actions for given batch elements
Get the logger
Select actions for the given batch of actions
Returns the list of all units of the agent
The main function
Recursively updates a nested dictionary
Reset the simulation
Get basic information about the experiment
Return a dict representation of the environment
Get the information about the experiment

Get all kandi verified functions for this library.

NDQ Key Features

No Key Features are available at this moment for NDQ.

NDQ Examples and Code Snippets

No Code Snippets are available at this moment for NDQ.

Community Discussions

Trending Discussions on NDQ

Writing a googlefinance wrapper

Pandas: Replace all values in column with column maximum

Apostrophes in title attribute are HTML encoded in response

fetching stock ticker data from yahoo finance

Merge csv file columns and name columns

Decoding message using dictionary on string in Python

QUESTION

Writing a googlefinance wrapper

Asked 2021-Feb-13 at 13:09

I'm working on a Google Sheet to track my stock portfolio. I use the googlefinance function to retrieve a stock price or last day change, but learned that it does not support all exchanges that I trade on.

I then thought to write a wrapper called simply finance, passing off the fetching of prices to Yahoo Finance in case the exchange isn't supported by Google. The wrapper would also give me the flexibility to make my sheet a bit more clean as well. For instance, Google and Yahoo use different indicators for stock exchanges. For instance, the Hong Kong Exchange is HKG on Google but HK on Yahoo. I would just like to type the exchange code that I use, and handle it in the wrapper. Here's an array with examples:

...

ANSWER

Answered 2021-Feb-13 at 13:09

Issues

Issue 1:

The code returns undefined because you are returning something undefined. Here:

Source https://stackoverflow.com/questions/66184787

QUESTION

Pandas: Replace all values in column with column maximum

Asked 2020-Jan-05 at 08:20

I have the following dataframe

...

ANSWER

Answered 2020-Jan-05 at 05:35

You can use df.clip and set the lower param to df.max:

From Docs:

lower : float or array_like, default None Minimum threshold value. All values below this threshold will be set to it.

Source https://stackoverflow.com/questions/59597242

QUESTION

Apostrophes in title attribute are HTML encoded in response

Asked 2019-Dec-19 at 09:54

"snippet": {
    "publishedAt": "2012-08-24T17:06:35.000Z",
    "channelId": "UCh6C5LG14uZKmwCgGxf-nDQ",
    "title": "Céline Dion - I'm Alive (Official Video)",
    "description": "Celine Dion - I'm Alive (Official Video) Listen on Spotify: http://smarturl.it/Celine_Spotify_EN Listen on Apple Music: http://smarturl.it/Celine_AM_EN Amazon: ...",
    "thumbnails": {},
}

...

ANSWER

Answered 2019-Dec-19 at 09:54

This has been a known issue of the API for quite some time.

Other users experienced it -- including myself. Yet, no documenting explanation and/or solution from Google emerged (as far as I know), neither here on SO, nor on Google's own issue tracker site.

I myself am filtering the texts received from API endpoints through my own HTML entity decoder.

I recommend you do the same kind of cleaning-up, using tools available from the surrounding programming environment.

As a final note, interestingly enough, on my site your video does not produce HTML entities in the JSON text obtained from the API.

Source https://stackoverflow.com/questions/59395285

QUESTION

fetching stock ticker data from yahoo finance

Asked 2019-Feb-03 at 07:23

I am trying to 'Adj Close' Data from yahoo finance using pdr.get_data_yahoo(ticker,start,end)

I am able to fetch data into a dataframe but unable to sort it by ticker symbol

I have created a list of the ticker symbols which comes from a csv file. and use the get_data_yahoo method to get the data for each symbol.

However I am unable to get the data into columns sorted by ticker, rather the data just concatenates into 1 column, or I am only able to pull 1 symbol from the list.

...

ANSWER

Answered 2019-Feb-03 at 07:23

I've had a lot of success using fix-yahoo-finance. Here is the github page.

Source https://stackoverflow.com/questions/54500496

QUESTION

Merge csv file columns and name columns

Asked 2019-Feb-01 at 00:14

I am trying to combine multiple csv files for ETF data. These csv files have the following data structure.

...

ANSWER

Answered 2019-Feb-01 at 00:14

You can load your columns into a dictionary and then pass it to pd.concat:

Source https://stackoverflow.com/questions/54471069

QUESTION

Decoding message using dictionary on string in Python

Asked 2018-Sep-20 at 13:53

When I'm using a dictionary to replace values in a string for decoding of a message, how do I put it in such that the function doesn't read a replaced value as a key and replace a replaced value again?

...

ANSWER

Answered 2018-Sep-20 at 13:16

You can use str.join with the following generator expression that iterates over the string to translate each character:

Source https://stackoverflow.com/questions/52425421

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

Vulnerabilities

No vulnerabilities reported

Install NDQ

You can download it from GitHub.
You can use NDQ 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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