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

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

This version

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-0.3.11.tar.gz (12.8 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.11-py3-none-any.whl (16.9 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.11.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.11.tar.gz
  • Upload date:
  • Size: 12.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for gpforecaster-0.3.11.tar.gz
Algorithm Hash digest
SHA256 acdf3f2291a52715813f2dd7526233819abc11f7c40243ffa7811d9b2a88d362
MD5 e9974d50adc2591bf475086c1c52bc66
BLAKE2b-256 3d4a8b91a14f86687fb01820b43eb4503201271748256c7fa0b500d7763ad58d

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.11-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.11-py3-none-any.whl
Algorithm Hash digest
SHA256 5773b583858cbfdd666515aa0a22df24effd7b0656063bb67574b9e6dfae73a2
MD5 92aac41d25245b5a76ac13e096e700d5
BLAKE2b-256 463eadf29beba9edf736d8982b93282d212f3220f9d52cb8f5e30231a674ecd0

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