Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
B
BayesianOptimization
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Model registry
Operate
Environments
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
shamith2
BayesianOptimization
Commits
00399b88
"...linkdiscovery/internal/LinkDiscoveryManagerTest.java" did not exist on "8c7e6280bc252eaa61f13edc26d145361649fd9b"
Unverified
Commit
00399b88
authored
5 years ago
by
Shamith Achanta
Committed by
GitHub
5 years ago
Browse files
Options
Downloads
Patches
Plain Diff
Update README.md
parent
739ada89
No related branches found
No related tags found
No related merge requests found
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
HyperSphere/README.md
+9
-7
9 additions, 7 deletions
HyperSphere/README.md
with
9 additions
and
7 deletions
HyperSphere/README.md
+
9
−
7
View file @
00399b88
...
...
@@ -42,27 +42,27 @@ pip install progressbar
### 2-3. Examples
BOCK for 95 dimensional branin with 47 evaluations (exclusive of first 2 evaluations)
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -g sphere --origin --warping --parallel --func branin -d 95 -e 47
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -g sphere --origin --warping --parallel --func branin -d 95 -e 47
```
BOCK-W (without warping) for 32 dimensional bird with 54 evaluations (exclusive of first 2 evaluations)
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -g sphere --origin --parallel --func bird -d 32 -e 54
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -g sphere --origin --parallel --func bird -d 32 -e 54
```
BOCK+B (with boundary) for 32 dimensional bird with 54 evaluations (exclusive of first 2 evaluations)
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -g sphere --origin --warping --boundary --parallel --func bird -d 32 -e 54
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -g sphere --origin --warping --boundary --parallel --func bird -d 32 -e 54
```
Matern for 32 dimensional bird with 54 evaluations (exclusive of first 2 evaluations)
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -g cube --parallel --func bird -d 32 -e 54
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -g cube --parallel --func bird -d 32 -e 54
```
Matern-ARD for 32 dimensional bird with 54 evaluations (exclusive of first 2 evaluations)
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -g cube --ard --parallel --func bird -d 32 -e 54
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -g cube --ard --parallel --func bird -d 32 -e 54
```
Continuing an existing experiment with 10 more evaluations
```
.
./
HyperSphere
$ python HyperSphere/BO/run_BO.py -p [EXPERIMENT_DIR]/branin_D20_spherewarpingorigin_20180728-12:13:32:828257 -e 10
./
BayesianOptimization
$ python HyperSphere/BO/run_BO.py -p [EXPERIMENT_DIR]/branin_D20_spherewarpingorigin_20180728-12:13:32:828257 -e 10
```
### 2-5. Optimizing new functions
...
...
@@ -77,7 +77,9 @@ factory_cooling_bill.dim = [number of elements in control_factors]
```
Then you can import this function in
**HyperSphere/BO/runb_BO.py**
as
```
from ../../../target import factory_cooling_bill
import sys
sys.path.append('/::host::/')
from target import factory_cooling_bill
```
then you run BO with the option
**-f factory_cooling_bill**
.
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment