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holgerteichgraeber / TimeSeriesClustering.jl

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
MIT License
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kmeansexact optimizer type specification #111

Open holgerteichgraeber opened 5 years ago

holgerteichgraeber commented 5 years ago

YoungFaithful on Jul 4 Collaborator

Can we not use: kmexact_optimizer::DataType=DataType or something else defining the Type? @holgerteichgraeber

Not sure what you are trying to point to? The issue we had was that the optimizer object itself does not have a specific type.. It's basically > Any @YoungFaithful YoungFaithful 21 hours ago Collaborator

I think that changed with the new JuMP update (https://github.com/YoungFaithful /CapacityExpansion.jl/blob/d23ffab3f915d6f02e128774b6d2ae82d1c358f0/src/optim_problems/run_opt.jl#L86)