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

This version

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

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-0.3.126.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.126-py3-none-any.whl (33.0 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.126.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.126.tar.gz
  • Upload date:
  • Size: 25.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gpforecaster-0.3.126.tar.gz
Algorithm Hash digest
SHA256 2733d88aed04604cdbf0de8d9bf5c7dcf672f5de325d954eca00180acbc616ec
MD5 8b6d42a04e722986b118ebb54eacfdbc
BLAKE2b-256 a069eb3fa6c2ef2b8664ec09ecc3beefd3f2d78cd4b0cee90bffdf3b7221cd90

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.126-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.126-py3-none-any.whl
Algorithm Hash digest
SHA256 14f77b3f164b7373c35f31f48c3bc5f4af3bd4a723d63add223a655f5c1e8cf1
MD5 dd9bbdbe86e86b92a61f66a21af00066
BLAKE2b-256 ab26672070f57ccb6fc7d552e27ea908dee1114c17b2ce090cb59c75f60cdab6

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