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I think it would nice to allow the parameter *start* in *pm.sample* to vary in similar manner as another parameter *random.seed*.
## Description of your problem
The code
```python
with model_k…
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Hello All,
I am interested in ways to tighten the forecast range:
![image](https://user-images.githubusercontent.com/43793310/51410887-e4f42b80-1b33-11e9-96ce-47eeff61cd35.png)
As you can s…
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Should come in 4 flavors:
- Using one of the existing curve similarity methods to compute similarity
between applied variance and performance curves. (easy)
- Average time to reconvergence after v…
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https://facebook.github.io/prophet/docs/non-daily_data.html
Prophet can make forecasts for time series with sub-daily observations by passing in a dataframe with timestamps in the ds column. The …
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The get_subset function returns the first grow_obs.size() rows of the input data. However, it should probably return the rows indexed by grow_obs?
This is important for lines 946-952 of BARTBMA_Sum…
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I'm having a little trouble translating the following JAGS model to pymc3
```
model {
for (i in 1:N) {
tau[i]
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Data:
[evi_mean.txt](https://github.com/facebook/prophet/files/2549584/evi_mean.txt)
Code:
```
df = pd.read_table("evi_mean.txt",delimiter=" ")
m = Prophet.Prophet(yearly_seasonality=4,
…
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I was using fbprophet version 0.4 in jupyter notebook. For a certain subset of data, the fit stays at a point "n_changepoints greater than number of observations.Using 7.0", and after an hour it shows…
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Input data is so huge that it take much time to do the forecast calculation.
Is there any guides about how to merge the incremental data with the previous forecast calculation result ?
In this way, …
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Hi,
I want to be able to incorporate weather data, beyond seasonality. For instance, if there were 2 days of a bad storm on particular dates - this will affect my metrics. Does including these days…