work: new way to install COS CE and DOcplex!

Just as I finished my series of posts on how to :

• install DOcplex
• solve a DOcplex model using a local solver
• solve a DOcplex model on the cloud
• use DOcplex in a Jupyter notebook

an exciting new announcement was made … CPLEX for Python is now available on ANACONDA CLOUD!

Getting up and running with DOcplex is easier than ever.

conda install

Once you have Anaconda installed as described here, open a Terminal window and run the command conda install -c IBMDecisionOptimization docplex cplex. This installs the packages that are available here.

~$ conda install -c IBMDecisionOptimization docplex cplex
Fetching package metadata ...........
Solving package specifications: .

Package plan for installation in environment /Applications/anaconda:

The following NEW packages will be INSTALLED:

    cplex:   12.7-py35_0    IBMDecisionOptimization
    docloud: 1.0.207-py35_0 IBMDecisionOptimization
    docplex: 1.0.630-py35_0 IBMDecisionOptimization

Proceed ([y]/n)? y

cplex-12.7-py3 100% |################################| Time: 0:00:01  10.81 MB/s
docloud-1.0.20 100% |################################| Time: 0:00:00   7.07 MB/s
docplex-1.0.63 100% |################################| Time: 0:00:00  10.86 MB/s

Now run the diet problem from the command line (examples available as described here):

~/MyStuff/Work/Python/Tests$ python diet.py
Model: diet
 - number of variables: 9
   - binary=0, integer=0, continuous=9
 - number of constraints: 7
   - linear=7
 - parameters: defaults
* model solved as function:
objective: 2.690
  "Spaghetti W/ Sauce"=2.155
  "Hotdog"=0.930
  "Chocolate Chip Cookies"=10.000
  "Lowfat Milk"=1.831
* KPI: Total Calories=2000.000
* KPI: Total Calcium=800.000
* KPI: Total Iron=11.278
* KPI: Total Vit_A=8518.433
* KPI: Total Dietary_Fiber=25.000
* KPI: Total Carbohydrates=256.806
* KPI: Total Protein=51.174
~/MyStuff/Work/Python/Tests$