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allegroai 2019-08-08 11:58:46 +03:00
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README.md
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@ -42,11 +42,11 @@ your experimentation logs, outputs, and data to one centralized server.
**Detailed overview of TRAINS offering and system design can be found [here](https://github.com/allegroai/trains/blob/master/docs/brief.md).** **Detailed overview of TRAINS offering and system design can be found [here](https://github.com/allegroai/trains/blob/master/docs/brief.md).**
## Using TRAINS ## Using TRAINS <a name="using-trains"></a>
TRAINS is a two part solution: TRAINS is a two part solution:
1. TRAINS [python package](https://pypi.org/project/trains/) (auto-magically connects your code, see [Using TRAINS](https://github.com/allegroai/trains#using-trains)) 1. TRAINS [python package](https://pypi.org/project/trains/) auto-magically connects with your code
**TRAINS requires only two lines of code for full integration.** **TRAINS requires only two lines of code for full integration.**
@ -83,7 +83,7 @@ When you are ready to use your own TRAINS server, go ahead and [install *TRAINS-
<img src="https://github.com/allegroai/trains/blob/master/docs/system_diagram.png?raw=true" width="30%"> <img src="https://github.com/allegroai/trains/blob/master/docs/system_diagram.png?raw=true" width="30%">
## Configuring Your Own TRAINS server ## Configuring Your Own TRAINS server <a name="configuration"></a>
1. Install and run *TRAINS-server* (see [Installing the TRAINS Server](https://github.com/allegroai/trains-server)) 1. Install and run *TRAINS-server* (see [Installing the TRAINS Server](https://github.com/allegroai/trains-server))