See CVXPYgen for aĬomplementary code generation approach. Read more about the new backends here:Ĭanonicalization backends. Which can drastically reduce the canonicalization time. To get involved, see our contributingĬVXPY 1.3 introduced the option for users to specify different canonicalization backends, Jaehyun Park, Enzo Busseti, AJ Friend, Judson Wilson, Chris Dembia, and Years includes Stephen Boyd, Eric Chu, Robin Verschueren, A non-exhaustive list of people who have shaped CVXPY over the ValueError: setting an array element with a sequence. To share feature requests and bug reports, use the issue tracker.ĬVXPY is a community project, built from the contributions of manyīartolomeo Stellato with many others contributing To have longer, in-depth discussions with the CVXPY community, use Github discussions. To chat with the CVXPY community in real-time, join us on Discord. The CVXPY community consists of researchers, data scientists, softwareĮngineers, and students from all over the world. Forīackground on convex optimization, see the book Convex Optimization by Boyd and Vandenberghe.ĬVXPY relies on the open source solvers OSQP, SCS, and ECOS.Īdditional solvers are supported, but must be installed separately. You can also try 'cheating' and taking a CVXPY expression and loading it elementwise into a numpy object array. For applications to machine learning, control, finance, and You do have the functions in at your disposal. Programming, mixed-integer convex programs, and quasiconvex programs.įor a guided tour of CVXPY, check out the tutorial. As soon as the code executes 'eval ('cvxbwic < arrfilter')' python gives me the following error message: ValueError: setting an array element with a sequence. To convex programming, CVXPY also supports a generalization of geometric This short script is a basic example of what CVXPY can do. value ) # The optimal Lagrange multiplier for a constraint is stored in # `constraint.dual_value`. A sensible idiom for assigning values to leaves is leaf.value leaf.project(val), ensuring that the assigned value satisfies the leaf’s properties. solve () # The optimal value for x is stored in `x.value`. Problem ( objective, constraints ) # The optimal objective value is returned by `prob.solve()`. sum_squares ( A x - b )) constraints = prob = cp. It expects whatever you give it to evaluate to a single number, if it doesn't, Numpy responds that it doesn't know how to set an array element with a sequence.Import cvxpy as cp import numpy as np # Problem data. X = np.array() #Fail, can't convert the numpy array to fitĪ numpy array is being created, and numpy doesn't know how to cram multivalued tuples or arrays into single element slots. I am trying to run the following code, however, I got ValueError: setting an array element with a sequence. By trying to cram a numpy array length > 1 into a numpy array element: x = np.array() import numpy as np import cvxpy as cvx nDim 2 n 4 def edm (X): d, n X.shape one np.ones ( (n, 1)) G X.transpose ().dot (X) g G.diagonal ().reshape ( (n, 1)) D g.dot (one.transpose ()) + one.dot (g.transpose ()) - 2.0 G return D X np.array ( 0.0, 0.0, 10.0, 5.0, 10.0, 20.0, 0.0, 10.0).transpose () D edm (. Numpy.array() #Fail, can't convert a list into a numpyĢ. It automatically transforms the problem into standard form, calls a solver, and unpacks the results. an() #Fail, can't convert a tuple into a numpy CVXPY is a Python-embedded modeling language for convex optimization problems. Numpy.array() #Fail, can't convert a tuple into a numpy Update: we should check to make sure that with cvxpy Expressions of constant value behaves in the same way as with numpy ndarrays of higher dimensions.Reason being: and np.dot behave differently for higher-dimensional arrays, and the original implementation of matmul in cvxpy might boil down to numpy's dot function, rather than the actual matmul function. When you pass a python tuple or list to be interpreted as a numpy array element: import numpy It can be thrown under various circumstances.ġ. Means exactly what it says, you're trying to cram a sequence of numbers into a single number slot. The Python ValueError: ValueError: setting an array element with a sequence.
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