Hi,
I've used Leela to make my first game analyze.
The software is extremely useful ! It showed me many vital points that I didn't see.
I'm not yet comfortable with the exploration of variations, since there is no tree view, like the one in CGoban.
For the time being, if I want to try a variation from a recorded game while the analysis is running, I click "Remember this position on the stack", then play some moves, using the "take back one move" button to change variations. Leela remembers all the MC calculations that it already made.
When I'm done, I click the "revert to stored position" button, and I can go on with the game.
There is a little bug. If I open a game and start the analysis, when I click "Remember this position on the stack" to remember to position and try some variations, when I click on the "revert to stored position" button, the analysis engine goes on analyzing the older position, that is no longer displayed. I have to go back one move and go forward one move to force the reload of the current position into the analysis tool.
If the variation that I explored is in the list, then its evaluation takes into account the analyzes done during the variation explorations. That's the way I force Leela to evaluate some moves that it doesn't.
For example if there are 3 favorite moves with 10000 iterations each, then another one with a higher winning probability, but only 10 iterations, and just one follow up, this 4th move can be ignored for minutes.
So I click "+", play the move, let the analyze explore 10000 iterations, then I "revert to stored position", "take back one move", "go forward one move" (to reload the current position).
Now, the 4th move has 10000 iterations done, and the subsequent variations are stored too.
Near the end of the game, I also noticed some oddities.

- Pio2001_20170629_Leela_2.png (73.48 KiB) Viewed 15581 times
Here, move 219 is a blunder where a whole group changes from "alive" to "ko". The neural network (red curve) seems much better at finding vital points than the Monte-Carlo (blue curve).
On the opposite, it seems to me that the MC curve is more reliable at estimating the winner during the late endgame, when only small endgame move remains, than the neural network, but in this situation, Leela didn't see the possibility of seki, so I can't be sure yet.
Which brings me to the topic of scoring.
At the end of the game, how can I inform Leela that a position is seki ?
If I'm not mistaken, the bottom left group is the attached position is in dual life, but Leela scores it as dead, and I can't change that

- Seki.png (180.22 KiB) Viewed 15581 times