Question: improve performance of reading files?

I am running LightGbmBinaryTrainer through AutoML API. The start of training is slow.
Are there ways to make it faster? CPU usage is less than 1 core, HDD reading is also very low.
The subsequent experiments seem much faster.

For example, should I read the data to memory before starting AutoML.

```
var loadOptions = columnInference.TextLoaderOptions;
loadOptions.UseThreads = true;
TextLoader textLoader = mlContext.Data.CreateTextLoader(loadOptions);
```

This is where it seems to spend most of time, on every pause. I have not run profiling though (it has some issues)