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Does anyone have an R implementation using r keras or tensorflow? Everything I see with it is in python or using darknet.
Has it not been done due to lack of pre-processing libraries in r?
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Can Prophet be used for multivariate time series and how it can be used
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I have a Husqvarna viking Topaz 50 machine, which does trims. When doing designs in inkstitch exported through pyembroidery, my trims does not work as I expect (they do not trim at all).
Free versi…
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It might be useful to add a `pvlib.iotools` parser for the NREL MIDC sites, particularly for the 1 minute data from sites that are currently active.
I've copied/pasted code similar to this more ti…
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https://blockstack.org/wallet/
Ideas:
- Move to `stackstoken.com/wallet` with permanent redirect from old URL
- Apply visual design from stackstoken.com / design system
- Clean up UI generally…
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My goal is to aggregate NYC Citibike data first over `station_id` then on minutes of `starttime` in Dask.
I create the dataset as follows,
```python
import pandas as pd
import numpy as np
im…
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Hi Professor Hyndman,
Is it possible to induce a lag of one period while creating an ARIMA model with the Arima() or auto.arima() functions? I would like to create an ARIMA model which forecasts yt…
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Hi,
I'm trying to convert the python loss function from here: https://stackoverflow.com/questions/46876213/custom-mean-directional-accuracy-loss-function-in-keras
I managed to get it working wit…
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Hey there,
In the below [line of function](https://github.com/robjhyndman/forecast/blob/5359ad691f3af104f60f1d8bc154bb453d7b6959/R/nnetar.R#L483
)
` fcast
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Do additional research to gain background and insight into health insurance status quo