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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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Unable to implement example #95

Closed Deepakgthomas closed 5 years ago

Deepakgthomas commented 5 years ago

Hello,

I am trying to test the ClustForOpt.jl software, however when I try running a variation of the example provided in the readme -

using ClustForOpt ts_input_data = load_timeseries_data("DAM", "GER")

I get the following error: MethodError: no method matching load_timeseries_data(::String, ::String) Closest candidates are: load_timeseries_data(::Any; region, T, years, att) at /home/nvidia/.julia/packages/ClustForOpt/YNrmS/src/utils/load_data.jl:19

Stacktrace:

holgerteichgraeber commented 5 years ago

Thank you for testing ClustForOpt, and thank you for pointing that out! The example seems to be an old version of load_timeseries_data(). See workflow_introduction.jl for a working example.

I am currently rewriting the documentation and README, the documentation branch has the newest version. I hope it should be up in dev and master in 1-2 weeks. Have a look if you like to see hopefully improved descriptions of how to use ClustForOpt.jl. Feedback welcome anytime. In the documentation branch, there is also a new function to load_timeseries_data() where you just specify the data import by saying for example load_timeseries_data(:CEP_GER1).

Before the new documentation is deployed, you would have to read the actual files in the documentation branch, e.g. https://github.com/holgerteichgraeber/ClustForOpt.jl/blob/documentation/docs/src/load_data.md .

Deepakgthomas commented 5 years ago

Thank you for the quick information :)

holgerteichgraeber commented 5 years ago

@Deepakgthomas the new documentation and also the load_timeseries_data() function is now in the current stable version of ClustForOpt.