Iblis Lin
Iblis Lin
got this on my machine ``` INFO: == Epoch 020/020 ========== INFO: ## Training summary INFO: accuracy = 0.9965 INFO: time = 5.2912 seconds INFO: ## Validation summary INFO: accuracy...
hmm, I believe that it's a bug of libmxnet now. My GPU build will invoke cuDNN, and it works without segfault in all the cases.
I reported this issue to upstream: https://github.com/apache/incubator-mxnet/issues/9050
@adrianloy do you have GPU and can try out cuDNN ?
Hi @matthieugomez I have a proposal for these functions: - Let's implement them in `TimeSeries.jl` for both `AbstractArray` and `TimeArray`. - Furthermore, we can add a new type like [`SimpleTimeArray`](https://github.com/JuliaStats/TimeSeries.jl/pull/363#issue-177456913)...
@nalimilan > head and tail are deprecated in DataFrames, so they will be removed at some point. FWIW, we moved to using first and last so maybe that would be...
cc me
Maybe you can check the `SimpleTime` example here? https://github.com/JuliaStats/TimeSeries.jl/pull/363#issue-177456913 And creating a WIP PR is welcomed, than we can co-work on your multi-rate time series type.
I think we can deprecate the `readtimearray` and `writetimearray` after we have Tables.jl integration. I tried CSV.jl, looks fine under Tables.jl integration.
I guess it's something like `resample` in pandas?