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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
82 stars 23 forks source link

Travis ready #55

Closed YoungFaithful closed 5 years ago

YoungFaithful commented 5 years ago

Include Travis

Next steps according to private email.

YoungFaithful commented 5 years ago

Included Requests.

holgerteichgraeber commented 5 years ago

Included Requests.

* Clp is no dependency any more (Do we need a section in the docs to address the usable Solvers?)

I think if we have them in the workflow, it should be fine as is. 

* Test and Examples tested (Shall we have them as a separate travis job?)

I think tests can be intregrated as travis jobs if we want, about the examples what do you think about keeping them out of travis, I see the examples more as guidance for users?

YoungFaithful commented 5 years ago

Included Requests.

* Clp is no dependency any more (Do we need a section in the docs to address the usable Solvers?)

I think if we have them in the workflow, it should be fine as is.

* Test and Examples tested (Shall we have them as a separate travis job?)

I think tests can be intregrated as travis jobs if we want, about the examples what do you think about keeping them out of travis, I see the examples more as guidance for users?

Sounds good. I'd also only use test.jl and maybe extend it a little or so.