I want my prophet model to predict values for every 10 minute interval over the next 24h (e.g. 24\*6=144 values).

Let's say I've trained a model on a huge (over 900k of rows) `.csv` file where sample row is 
...

```
ds=2018-04-24 16:10, y=10
ds=2018-04-24 16:20, y=14
ds=2018-04-24 16:30, y=12

```

...

So I call `mode.fit(huge_df)` and wait for 1-2 seconds to receive 144 values.

And then an hour passes and I want to tune my prediction for the following (144 - 6) 138 values given a new data (6 rows).

How can I tune my existing prophet model without having to call `mode.fit(huge_df + live_df)` and wait for some seconds again? I'd like to be able to call `mode.tune(live_df)` and get an instant prediction.