cmdstanpy | CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects a | Development Tools library

by stan-dev Python Version: 1.2.4 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | cmdstanpy Summary

cmdstanpy is a Python library typically used in Utilities, Development Tools applications. cmdstanpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cmdstanpy' or download it from GitHub, PyPI.

CmdStanPy is a lightweight pure-Python interface to CmdStan which provides access to the Stan compiler and all inference algorithms. It supports both development and production workflows. Because model development and testing may require many iterations, the defaults favor development mode and therefore output files are stored on a temporary filesystem. Non-default options allow all aspects of a run to be specified so that scripts can be used to distributed analysis jobs across nodes and machines. CmdStanPy is distributed via PyPi: or Conda Forge:

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Support

cmdstanpy has a low active ecosystem.

It has 128 star(s) with 69 fork(s). There are 17 watchers for this library.

There were 2 major release(s) in the last 6 months.

There are 21 open issues and 333 have been closed. On average issues are closed in 76 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cmdstanpy is 1.2.4

Quality

cmdstanpy has no bugs reported.

Security

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

License

cmdstanpy is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

cmdstanpy releases are available to install and integrate.

Deployable package is available in PyPI.

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

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

Top functions reviewed by kandi - BETA

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

Sample from data
Return the path to the CmdStan installation
Determine whether the command is before the given version
Return the version of the CmdStan installation
Returns an Xarray Dataset
Assemble the generated quantities into a numpy array
Build xarray data
Generate a numpy array of draws
Install CmdStan package
Parse command line arguments
Set the version active on rtd org
Show the available versions
Return a numpy array containing the optimization results
Save the csv files to a directory
Return a dictionary of the stan variables
Return a dictionary of stan variables
Check for diagnostics
Wrap a callback function
Run the diagnose command
Returns a pandas DataFrame containing the optimization results
A dictionary of stan variables
Validate the model
Return a pandas DataFrame containing summary statistics
Install C ++ toolchain
Returns an xarray Dataset
Validate csv files

Get all kandi verified functions for this library.

cmdstanpy Key Features

No Key Features are available at this moment for cmdstanpy.

cmdstanpy Examples and Code Snippets

No Code Snippets are available at this moment for cmdstanpy.

Community Discussions

Trending Discussions on cmdstanpy

Discrepancy between two hosts running the same docker commands

Error installing fbprophet on Google Cloud Platform AI Platform

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

How to successfully install fbprophet via Gitlab CI?

QUESTION

Discrepancy between two hosts running the same docker commands

Asked 2020-Dec-24 at 00:58

A colleague and I have a big Docker puzzle.

When we run the following commands we get different results.

...

ANSWER

Answered 2020-Dec-19 at 06:15

This is solution. This problem is not just a matter on docker, but fbprophet itself causes. To avoid:

Source https://stackoverflow.com/questions/65366434

QUESTION

Error installing fbprophet on Google Cloud Platform AI Platform

Asked 2020-Sep-15 at 22:33

I am trying to install facebook prophet on my Jupyter Notebook in AI Platform

...

ANSWER

Answered 2020-Sep-15 at 22:33

You can start a new instance which has Python 3.7 then install fbprophet

Source https://stackoverflow.com/questions/63906136

QUESTION

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

Asked 2020-Sep-15 at 20:26

I want to make use of a promising NN I found at towardsdatascience for my case study.

The data shapes I have are:

...

ANSWER

Answered 2020-Aug-17 at 18:14

I cannot reproduce your error, check if the following code works for you:

Source https://stackoverflow.com/questions/63455257

QUESTION

How to successfully install fbprophet via Gitlab CI?

Asked 2020-Jul-29 at 10:05

I am trying to deploy a code of mine (that uses fbprophet) as an EC2 instance using Gitlab CI.

my requirements.txt file:

...

ANSWER

Answered 2020-Jul-29 at 10:05

The issue with fbprophet is that it imports and executes its own code in setup.py. This is sometimes called a "race condition", although it has nothing to do with parallel code execution - one has to be careful about importing code which is being installed.

Here, fbprophet.models imported in setup.py triggers import of fbprophet.forecaster (even if unused) via fbprophet/__init__.py, which triggers the imports of numpy, pandas etc. None of the packages is declared as build dependency via setup_requires, thus the error. To avoid it, you have to install the dependencies in a separate command before installing your own requirements:

Source https://stackoverflow.com/questions/62931259

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

Vulnerabilities

No vulnerabilities reported

Install cmdstanpy

You can install using 'pip install cmdstanpy' or download it from GitHub, PyPI.
You can use cmdstanpy 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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