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

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

This version

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-0.3.45.tar.gz (16.9 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.45-py3-none-any.whl (26.1 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.45.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.45.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for gpforecaster-0.3.45.tar.gz
Algorithm Hash digest
SHA256 a1d11ce0102e6b0a964ebb31d55d3408590f6bdc303cd03074f04890233b67a0
MD5 f21e62c3af8126da5d6779935ddd6595
BLAKE2b-256 f60e893337a5eed1dedc8f876fa2c428ded8ff97ccab215af1e6b64abea95c1d

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.45-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.45-py3-none-any.whl
Algorithm Hash digest
SHA256 a3e426ae02ef6e6b972d43c5a01d0823af342e40a20ee03be14987d1a6e3993e
MD5 4cc14725ee688a99dc70b0739c3da485
BLAKE2b-256 797cd2b33e203b51ac7f7f0a273b282d7d6468dd204bdd41dca5a3195f2ba067

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