gluon-ts | Probabilistic time series modeling in Python | Machine Learning library

by awslabs Python Version: v0.9.3 License: Apache-2.0

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gluon-ts Summary

gluon-ts is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. gluon-ts has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install gluon-ts' or download it from GitHub, PyPI.

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the art models ready to be trained, and building blocks to define your own models and quickly experiment with different solutions.

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Support

gluon-ts has a medium active ecosystem.

It has 2572 star(s) with 545 fork(s). There are 68 watchers for this library.

It had no major release in the last 12 months.

There are 222 open issues and 435 have been closed. On average issues are closed in 27 days. There are 69 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gluon-ts is v0.9.3

Quality

gluon-ts has 0 bugs and 0 code smells.

Security

gluon-ts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gluon-ts code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gluon-ts 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

gluon-ts 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, examples and code snippets are available.

It has 87878 lines of code, 4633 functions and 763 files.

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

Top functions reviewed by kandi - BETA

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

Calculates the statistics of a dataset .
Generate M5 Dataset .
This function is used for testing .
Unroll encoder .
Start training loop .
Encode a Python object .
Fit an estimator .
Return a string representation of the model .
Create a GluonTSModel .
Extract JobInfo objects from training jobs .

Get all kandi verified functions for this library.

gluon-ts Key Features

No Key Features are available at this moment for gluon-ts.

gluon-ts Examples and Code Snippets

How to silence training info in GluonTS / Apache mxnet?

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import logging

logging.getLogger("mxnet").addFilter(lamda record: False)

Export multiple GluonTS forecasts to pandas dataframe

Python

Lines of Code : 50

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def sample_df(forecast):
    samples = forecast.samples
    ns, h = samples.shape
    dates = pd.date_range(forecast.start_date, freq=forecast.freq, periods=h)
    return pd.DataFrame(samples.T, index=dates)

sample

Community Discussions

Trending Discussions on gluon-ts

Export multiple GluonTS forecasts to pandas dataframe

QUESTION

Export multiple GluonTS forecasts to pandas dataframe

Asked 2020-Apr-24 at 23:59

I have multiple time series that I would like to forecast with GluonTS, then concatenate so my result is a pandas data frame with the column headers date, y (the target), series (the series number).

The problem is that GluonTS produces a generator. I can look at each series with next(iter(forecast_id)), but I would like to stack all of the forecasts together to make it easier to export as a csv.

How can I stack the forecasts from all series into one pandas dataframe?

...

ANSWER

Answered 2020-Apr-24 at 23:59

You can unpack an entry like so:

Source https://stackoverflow.com/questions/61416951

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

Vulnerabilities

No vulnerabilities reported

Install gluon-ts

GluonTS requires Python 3.7, and the easiest way to install it is via pip:.
This simple example illustrates how to train a model from GluonTS on some data, and then use it to make predictions. As a first step, we need to collect some data: in this example we will use the volume of tweets mentioning the AMZN ticker symbol.