Hierarchical time series forecasting model using Gaussian Processes

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for luisroque from gravatar.com luisroque

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Luis Roque
  • Tags python, time series, hierarchical, forecasting, gaussian process, machine learning
Classifiers

Project description

A package that allows you to forecast time series datasets with some type of hierarchical structure. The algorithm is implementedusing PyTorch

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for luisroque from gravatar.com luisroque

Unverified details

These details have not been verified by PyPI
Meta
  • Author: Luis Roque
  • Tags python, time series, hierarchical, forecasting, gaussian process, machine learning
Classifiers

Release history Release notifications | RSS feed

0.3.142

0.3.141

0.3.140

0.3.139

0.3.138

0.3.137

0.3.136

0.3.134

0.3.133

0.3.132

0.3.131

0.3.130

0.3.129

0.3.128

0.3.127

0.3.126

0.3.125

0.3.124

0.3.123

0.3.122

0.3.121

0.3.120

0.3.119

0.3.118

0.3.117

0.3.116

0.3.115

0.3.114

0.3.113

0.3.112

0.3.111

0.3.110

0.3.109

0.3.108

0.3.107

0.3.106

0.3.105

0.3.104

0.3.103

0.3.102

0.3.101

0.3.100

0.3.99

0.3.98

0.3.97

0.3.96

0.3.95

0.3.94

0.3.93

0.3.92

0.3.91

0.3.90

0.3.89

0.3.88

0.3.87

0.3.86

0.3.85

0.3.84

0.3.83

0.3.82

0.3.81

0.3.80

0.3.79

0.3.78

0.3.77

0.3.76

0.3.75

0.3.74

0.3.73

0.3.72

0.3.71

0.3.70

0.3.69

0.3.68

0.3.67

0.3.66

0.3.65

This version

0.3.64

0.3.63

0.3.62

0.3.61

0.3.60

0.3.59

0.3.58

0.3.57

0.3.56

0.3.55

0.3.54

0.3.53

0.3.52

0.3.51

0.3.50

0.3.49

0.3.48

0.3.47

0.3.46

0.3.45

0.3.44

0.3.43

0.3.42

0.3.41

0.3.40

0.3.39

0.3.38

0.3.37

0.3.36

0.3.35

0.3.34

0.3.33

0.3.32

0.3.31

0.3.30

0.3.29

0.3.28

0.3.27

0.3.26

0.3.25

0.3.24

0.3.22

0.3.21

0.3.20

0.3.19

0.3.18

0.3.17

0.3.16

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.9

0.2.8

0.2.6

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.3

0.1.2

0.1.1

0.1.0

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gpforecaster-0.3.64.tar.gz (20.4 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.64-py3-none-any.whl (26.7 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.64.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.64.tar.gz
  • Upload date:
  • Size: 20.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for gpforecaster-0.3.64.tar.gz
Algorithm Hash digest
SHA256 b3ab3b646dce8f94a4a639e4056b1d69fd03a31e21c0665a912a79b46ab249a8
MD5 c2d6d3be0aac457037a13cd709f239c1
BLAKE2b-256 09af4c2e86238eaebddc2bc5e9a078bfbcf4917a64cb330e228982087ce3e9ed

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.64-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.64-py3-none-any.whl
Algorithm Hash digest
SHA256 d65ddab602d116770fc9c22a0e3f2e4c98a2e8f4f4197ac77c8a3d015ca342e6
MD5 522f2d3d56d05690acfe2fcf1f65d613
BLAKE2b-256 a1ff8f2729a35c9705867a362bcc434d564bfacedd2ad7d45512e66980a9a11d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page