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

This version

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

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-1.9.50.tar.gz (176.5 kB view details)

Uploaded Source

File details

Details for the file bluepyopt-1.9.50.tar.gz.

File metadata

  • Download URL: bluepyopt-1.9.50.tar.gz
  • Upload date:
  • Size: 176.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/2.7.15

File hashes

Hashes for bluepyopt-1.9.50.tar.gz
Algorithm Hash digest
SHA256 bea3c8c18dfbe11190ff9c6279f2d4231593b3ab221105f10ae0ec7fe7c3954a
MD5 d3f0265f6508babadbdf4336917cb0e6
BLAKE2b-256 18e52c0dedc640c4a0601f3423369dcec77ec107775683aa6ace3cd915f31aa5

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