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@@ -26,7 +26,7 @@ This is the experiment manager's UI, and every row you can see here, is a single
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We’re currently in our project folder. As you can see, we have our very basic toy example here that we want to keep track of by using ClearML’s experiment manager.
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The first thing to do is to install the `clearml` python package in our virtual environment. Installing the package itself, will add 3 commands for you. We’ll cover the `clearml-data` and `clearml-task` commands later. For now the one we need is `clearml-init`.
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The first thing to do is to install the `clearml` Python package in our virtual environment. Installing the package itself, will add 3 commands for you. We’ll cover the `clearml-data` and `clearml-task` commands later. For now the one we need is `clearml-init`.
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If you paid attention in the first video of this series, you’d remember that we need to connect to a ClearML Server to save all our tracked data. The server is where we saw the list of experiments earlier. This connection is what `clearml-init` will set up for us. When running the command it’ll ask for your server API credentials.
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