Bluebrain Python Optimisation Library (bluepyopt)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation, neuroscience, BlueBrainProject
Classifiers

Project description

The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation, neuroscience, BlueBrainProject
Classifiers

Release history Release notifications | RSS feed

1.14.17

1.14.16

1.14.15

1.14.14

1.14.13

1.14.12

1.14.11

1.14.10

1.14.9

1.14.8

1.14.7

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.222

1.13.220

1.13.215

1.13.211

1.13.208

1.13.205

1.13.203

1.13.201

1.13.199

1.13.196

1.13.189

1.13.184

1.13.182

1.13.178

1.13.175

1.13.171

1.13.168

1.13.163

1.13.161

1.13.107

1.13.102

1.13.95

1.13.92

1.13.90

1.13.88

1.13.86

1.13.83

1.13.79

1.13.76

1.13.12

1.13.10

1.13.8

1.13.3

1.12.63

1.12.61

1.12.59

1.12.57

1.12.53

1.12.51

1.12.49

1.12.47

1.12.44

1.12.28

1.12.26

1.12.24

1.12.22

1.12.19

1.12.12

1.12.7

1.12.3

1.12.1

1.11.47

1.11.15

1.11.7

1.11.5

1.11.3

1.10.38

1.10.36

1.10.33

1.10.30

1.10.27

1.10.24

1.10.21

1.10.14

1.10.12

1.10.9

1.9.153

1.9.151

1.9.149

1.9.147

1.9.146

1.9.145

1.9.141

1.9.137

1.9.133

1.9.128

1.9.126

1.9.124

1.9.117

1.9.115

1.9.112

1.9.110

1.9.98

1.9.96

1.9.93

1.9.91

1.9.90

1.9.88

1.9.86

1.9.83

1.9.80

1.9.79

1.9.69

1.9.66

1.9.55

1.9.50

1.9.48

1.9.46

1.9.43

1.9.39

1.9.37

1.9.30

1.9.27

1.9.13

1.9.12

1.9.11

This version

1.9.9

1.9.3

1.8.68

1.8.66

1.8.64

1.8.61

1.8.59

1.8.54

1.8.52

1.8.50

1.8.48

1.8.46

1.8.43

1.8.40

1.8.38

1.8.36

1.8.34

1.8.27

1.8.25

1.8.23

1.8.21

1.8.20

1.8.19

1.8.18

1.8.16

1.8.7

1.8.5

1.8.4

1.8.2

1.7.6

1.7.4

1.7

1.6.75

1.6.62

1.6.56

1.6.51

1.6.45

1.6.42

1.6.27

1.6.25

1.6.22

1.6.20

1.6.11

1.6.8

1.6.6

1.6.4

1.6.2

1.5.37

1.5.35

1.5.33

1.5.31

1.5.29

1.5.26

1.5.22

1.5.20

1.5.17

1.5.14

1.5.12

1.5.10

1.5.8

1.5.7

1.5.5

1.5.3

1.5.1

1.2.159

1.2.157

1.2.154

1.2.152

1.2.151

1.2.149

1.2.147

1.2.145

1.2.142

1.2.139

1.2.137

1.2.132

1.2.128

1.2.118

1.2.116

1.2.113

1.2.111

1.2.109

1.2.107

1.2.105

1.2.104

1.2.103

1.2.89

1.2.87

1.2.85

1.2.83

1.2.80

1.2.79

1.2.78

1.2.77

1.2.76

1.2.75

1.2.74

1.2.73

1.2.72

1.2.71

1.2.70

1.2.69

1.2.68

1.2.67

1.2.66

1.2.65

1.2.64

1.2.63

1.2.62

1.2.61

1.2.60

1.2.59

1.2.58

1.2.57

1.2.55

1.2.53

1.2.51

1.2.48

1.2.42

1.2.41

1.2.40

1.2.39

1.2.38

1.2.37

1.2.36

1.2.35

1.2.34

1.2.33

1.2.32

1.2.31

1.2.30

1.2.29

1.2.28

1.2.26

1.2.25

1.2.24

1.2.23

1.2.20

1.2.18

1.2.16

1.2.14

1.2.12

1.2.8

1.2.6

1.2.1

1.1.180

1.1.178

1.1.177

1.1.173

1.1.172

1.1.171

1.1.169

1.1.167

1.1.163

1.1.151

1.1.150

1.1.149

1.1.148

1.1.146

1.1.144

1.1.142

1.1.140

1.1.138

1.1.136

1.1.134

1.1.132

1.1.130

1.1.128

1.1.127

1.1.126

1.1.125

1.1.123

1.1.122

1.1.119

1.1.117

1.1.114

1.1.111

1.1.107

1.1.105

1.1.100

1.1.76

1.1.74

1.1.72

1.1.71

1.1.70

1.1.68

1.1.63

1.1.55

1.1.52

1.1.47

1.1.45

1.1.43

1.1.42

1.1.41

1.1.39

1.1.35

1.1.33

1.1.27

1.1.24

1.1.22

1.1.20

1.1.4

1.1.2

1.0.12

1.0.5

1.0.3

1.0.2

1.0.1

1.0

0.1.230

0.1.98

0.1.97

0.1.96

0.1.91

0.1.84

0.1.82

0.1.80

0.1.78

0.1.76

0.1.75

0.1.73

0.1.72

0.1.69

0.1.64

0.1.62

0.1.60

0.1.58

0.1.56

0.1.54

0.1.48

0.1.45

0.1.43

0.1.40

0.1.38

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.23

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

bluepyopt-1.9.9.tar.gz (175.3 kB view details)

Uploaded Source

File details

Details for the file bluepyopt-1.9.9.tar.gz.

File metadata

  • Download URL: bluepyopt-1.9.9.tar.gz
  • Upload date:
  • Size: 175.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/2.7.15

File hashes

Hashes for bluepyopt-1.9.9.tar.gz
Algorithm Hash digest
SHA256 5a33dff8ed2f72950c1fe2f5aeb3f27ddd22f4ab49dffe8999e08f1b7f5ec0e0
MD5 4ea3d6040e685e90b76621ac2ab12151
BLAKE2b-256 bd70750b2917e84333802f41e05559f2919c5a361aaadf29b892d9c84381bcca

See more details on using hashes here.

Provenance

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