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

This version

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

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-1.9.90.tar.gz (177.6 kB view details)

Uploaded Source

File details

Details for the file bluepyopt-1.9.90.tar.gz.

File metadata

  • Download URL: bluepyopt-1.9.90.tar.gz
  • Upload date:
  • Size: 177.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.25.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/2.7.15

File hashes

Hashes for bluepyopt-1.9.90.tar.gz
Algorithm Hash digest
SHA256 0a3e5872e2ff37350421dc65482cce8b6ff20442662639178591322c63d3089d
MD5 e9ad12c77c90fe866b428f1d45f5cacd
BLAKE2b-256 38751dc6bf267106ea56d1ff6a01bd87a9d3262f17b20532efa324fcd219281d

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