Issues
- 0
Incompatability with Pandas > 1.5.0
#118 opened by CCBeard - 3
Can't pickle local object 'Flask.init..'
#115 opened by RalfKellner - 0
trivial Baysian Optimization raises TypeError
#117 opened by Permafacture - 1
- 5
Dashboard not supported on Windows. Disable the dashboard and save the finalized study instead.How do I tackle this prblem
#78 opened by michaelGK92 - 0
use development install instead of path export?
#116 opened by mathause - 1
Bayesian optimization with Random Forest
#113 opened by mikolajwojciuk - 0
Sherpa study can not find keras module
#112 opened by Sshamekh - 0
ValueError: `f0` passed has more than 1 dimension.
#111 opened by jing-2020 - 0
Resume optimization
#108 opened by Puumanamana - 0
Considering pruned trial information when sampling
#107 opened by brunofacca - 0
- 2
Parallel Sherpa MongoDB access issues
#105 opened by djgagne - 0
pandas >= 1.10 KeyError
#104 opened by michaelsimmler - 1
Show dashboard after run complete?
#103 opened by bkj - 7
trying to implement sherpa with mongodb
#56 opened by shreyagu - 5
Error when using bayesian optimization
#98 opened by joeforan76 - 4
Problem with Dashboard
#93 opened by lordfiftyfive - 1
Using shlex to split runner_command
#90 opened by nasimrahaman - 4
Only install enum34 for old versions of Python
#91 opened by tpanza - 2
Simple.py fails under windows
#26 opened by iandanforth - 3
- 1
Sherpa Dashboard Links Invalid
#92 opened by kjmayer - 1
Possible typo on guide website:
#88 opened by jbae11 - 0
Bug in sherpa
#87 opened by lordfiftyfive - 7
Running separate studies on separate, but NFS-linked machines delivers same parameters to all trials on all machines over and over
#80 opened by tpanza - 5
Example using tensorflow API
#66 opened by vinodrajendran001 - 2
Closing MongoDB, IndexError: single positional indexer is out-of-bounds, PBT example
#64 opened by martsalz - 3
Support for new algorithms
#29 opened by anirudhacharya - 3
- 14
- 5
- 2
PBT without MongoDB: Trial parameters are not changed from generation to generation
#65 opened by martsalz - 1
Population Based Training algorithm: Difference between parameters and parameter_range
#62 opened by martsalz - 4
accounting for deep learning initialization
#22 opened by nrakocz - 5
Discrete() produces floats occasionally
#50 opened by dangpzanco - 3
How to access SHERPA Dashboard when working at colab and how to save study there?
#41 opened by daraghimo - 9
Dashboard not accessible
#59 opened by martsalz - 0
SyntaxError
#53 opened by porimol - 1
- 2
- 1
Accommodate using `python3` instead of `python`
#32 opened by LarsHH - 0
LocalScheduler: Pop from empty list when using more `max_concurrent` than `resources`
#33 opened by LarsHH - 0
- 3
Relicense under a permissive license
#19 opened by KOLANICH - 1
JavaScript port/implementation?
#28 opened by rhysstubbs - 2
Write logs for LocalScheduler
#16 opened by LarsHH - 2
- 2
- 1
Connecting to Sherpa dashboard
#17 opened by goravkaul