agent-multi | Automated trading agent for an OpenAI Gym enviroment | Machine Learning library

by harveybc Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | agent-multi Summary

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

Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.

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Quality

Security

License

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Support

agent-multi has a low active ecosystem.

It has 9 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

agent-multi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of agent-multi is current.

Quality

agent-multi has 0 bugs and 0 code smells.

Security

agent-multi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

agent-multi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

agent-multi 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

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

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

Top functions reviewed by kandi - BETA

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

Evaluate the validation set
Transforms the given action
Evaluate the next action based on the observation data
Convert a numpy array into a numpy array
Normalize observation
Runs the Lander
Renders a network
Calculate the best fitness for a singularity
Calculates training validation set
Plots the average and best fitness
Calculate the fitness of the genome
Find the best fitness for a given list of genomes
Given a list of genomes replace them with another
Format a list of values
Evaluate genomes
Simulate the experiment
Compute fitness error
Loads the action models

Get all kandi verified functions for this library.

agent-multi Key Features

No Key Features are available at this moment for agent-multi.

agent-multi Examples and Code Snippets

No Code Snippets are available at this moment for agent-multi.

Community Discussions

Trending Discussions on agent-multi

New GKE cluster logging thousands of errors

QUESTION

New GKE cluster logging thousands of errors

Asked 2021-Mar-08 at 16:12

After creating a fresh new Kubernetes cluster in Google Kubernetes Engine I am seeing a lot of errors in Google Cloud logging related to the metrics agent.

I have had that problem with an existing cluster on version 1.18.x. Then I upgraded to 1.19.x after the suggestion that this would fix it. However, the problem persisted so I upgraded to 1.20.x and still no change.

Eventually I created a new cluster with the most recent Kubernetes version and still see hundreds of errors being logged immediately after:

...

ANSWER

Answered 2021-Mar-08 at 16:12

As was mentioned in previous thread, GKE cluster v 1.18.12-gke.1206 contained bug which logged hundreds of Prometheus errors:

Source https://stackoverflow.com/questions/66475701

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

Vulnerabilities

No vulnerabilities reported

Install agent-multi

You can download it from GitHub.
You can use agent-multi 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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