Open Christiansj83 opened 4 years ago
BOFdat Step3 requires using the Gurobi solver. This is necessary because of the high number of optimization performed by the genetic algorithm.
You can check if the solver is accessible by opening a python prompt in terminal and running the following commands:
import cobra
model = cobra.io.load_json_model('model_path')
model.solver = 'gurobi'
If the output is the same, you may have to ensure that gurobi is both installed and the license is available. The license may expire and need to be renewed.
I got the same error as mentioned above. I made sure that I have gurobi ( conda config --add channels https://conda.anaconda.org/gurobi
conda install gurobi
).
Then when I run step3.generate_initial_population, it shows "Assessing individual metabolite solvability" and just keeps running without ending. When I specify that json_model.solver = 'gurobi'
, I get errors function took longer than 40 seconds
, and then it crashes (IndexError: tuple index out of range
), independent of the population number. Any suggestions how to solve this?
Environment:
channels:
- conda-forge
- bioconda
- defaults
dependencies:
- python=2.7
- jupyterlab
- numpy=1.13
- biopython=1.76
- pip
- pip:
- BOFdat
- cobra==0.11.1
When trying BOFdat step3 an exception is raised. Tried both with COBRApy 0.15.3 and 0.16.0.
step3.generate_initial_population(population_name, path_to_model, base_biomass_path, exp_essentiality_path, number_of_populations=5)
Assessing individual metabolite solvability function raised gurobi is not a valid solver interface. Pick from ['glpk_exact', 'glpk', 'scipy']. Traceback (most recent call last): File "C:\Users\csjes\AppData\Local\Continuum\anaconda3\lib\site-packages\cobra\core\model.py", line 150, in solver interface = solvers[interface_to_str(value)] KeyError: 'gurobi'