-
Hello - I recently discovered your library and it is very intriguing!
I frequently work with time series data which has regular breaks, during which there are no observed measurements (e.g., durin…
-
We have two basic (and very related) prediction tasks:
### Task 1: Admission
Given admission counts from the past W timesteps, predict next admission count
That is, we want to learn a distrib…
-
Hi azure ml,
Thanks for the great work.
I am running below notebook using azure ml and getting the error during forecast command. Please guide.
https://github.com/Azure/MachineLearningNoteboo…
-
I am trying to follow the example _05 Timeseries Forecasting.ipynb_ provided in the master repository.
When I tried to filter the id by a tuple I didn't get any match:
df_rolled[df_rolled["id"] ==…
-
[Here](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Zeros) it's written that `tf.keras.initializers.zeros` is a shortcut for `tf.keras.initializers.Zeros()`.
If it is a shortcut, …
-
hi everyone!
Been quite a fan of prophet for long time. This is more a brainstorming/question than any issue really. Sorry if it ends up to be a naive/dumb question (I'm not so strong on internals/…
-
Currently, `xr_predictability_horizon` is a simple test for finding the lead time to which the initialized skill beats out persistence/uninitialized.
```python
def xr_predictability_horizon(skill…
-
Hi ! love the look of the package! looks amazing!
I am getting an error for the nbeats example.
load data
GPU available: False, used: False
TPU available: False, using: 0 TPU cores
Number…
-
Hi,
Firstly - thank you for your time, work and commitment that went into this package. All is good stuff. Yet one on thing I'm kinda struggling is how to check the predictions on the data that is no…
-
**Is your feature request related to a current problem? Please describe.**
Currently the default setup of has ~2.4 GB of dependencies. This make it unusable for AWS lambdas or other resource constrai…