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### System information
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**:
Yes
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
Li…
dhgrs updated
6 years ago
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**Backstory:** I was looking around for a robust smooth spline fitter, and I was quite pleased to see one implemented so "close to home" (i.e., in a Bioconductor package).
Anyway, I was wondering w…
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It'd be awesome if there were a column in the output called `dv` that reported the name of the dependent variable.
hashtag feature request.
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**Issue by [matthewgee](https://github.com/matthewgee)**
_Thursday Jan 12, 2017 at 17:05 GMT_
_Originally opened as https://github.com/impactlab/caltrack/issues/32_
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The implementation of CalTR…
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Installation from Options->Add-Ons in Orange, fails with error below:
```
Collecting Orange3-Timeseries
Using cached Orange3-Timeseries-0.3.2.tar.gz
Requirement already satisfied: Orange3 in c…
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Enhance reproducibility by using the same random number generation between consecutive run:
- [x] Initialize all internal random generator with a default seed:
- [x] for all robust estimators
-…
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VARProcess.forecast currently returns an np.ndarray without any labelling.
In many cases data.row_labels will be a pd.DatetimeIndex. If it has either a freq or inferred_freq that is non-None, then…
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Hello!
Thanks for this amazing package. I am wondering if it would work when one uses robust or HAC standard errors coming from the `sandwich` R package?
Thanks!
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Here is working code for the Box-Cox transform with an optional shift operator to keep data positive. My multivariable calculus is a bit rusty and I am unfamiliar with the python functions to perform …
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I think that there is an issue with the consistency at least between the doc and the code regarding the preprocessing (scaler/normalizer)
As an example, I wanted to use `StandardScaler` for a 1D tr…