upgrade network, additional mac/linux instructions

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Sander Land committed 2020-02-16 20:48:07 +01:00
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@@ -17,18 +17,19 @@ Some uses include:
Manual
======
Installation for windows users
Installation for Windows users
------------------------------
* Make sure you have a python installation, I will assume Anaconda (Python 3.7) https://www.anaconda.com/distribution/#download-section
* Open 'Anaconda prompt'
* Execute the command 'pip install kivy'
* Start the app by running `python katrain.py` in the directory where you downloaded the scripts.
Installation for linux users
----------------------------
Installation for linux/Mac users
--------------------------------
* This assumed you have a working Python 3.6+ installation, use pip3/python3 etc. if your default is python 2.
* pip install kivy
* Change the `engine.command` field in `config.json` to your kata v1.3+ binary.
Compiled binaries and source code can be found at https://github.com/lightvector/KataGo/releases. Executables for Mac are not available, so compiling from source code is required there.
* Start the app by running `python katrain.py`
Options
@@ -93,6 +94,9 @@ The `trainer` block has the following options to tweak:
The cfg file has additional configuration for kata. In particular, it changes the default to being more exploratory and score-based (and therefore nicer as an opponent, but weaker as analysis tool).
TODO
----
* See github issues!
Contributing
============
* Feedback and pull requests are both very welcome.
* For suggestions and planned improvements, see the 'issues' tab on github.
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@@ -1,9 +1,9 @@
{
"analysis": {
"pass_visits": 200,
"pass_visits": 125,
"pass_visits_fast": 50,
"visits": 3500,
"visits_fast": 1500
"visits": 2500,
"visits_fast": 1000
},
"board": {
"size": 19,
@@ -29,7 +29,7 @@
"min_eval_temperature": 0.5
},
"engine": {
"command": "KataGo/katago analysis -model models/b10-1.3.gz -config KataGo/analysis_config.cfg -analysis-threads 8"
"command": "KataGo/katago analysis -model models/b15-1.3.2.gz -config KataGo/analysis_config.cfg -analysis-threads 8"
},
"trainer": {
"balance_play_target_score": 2,