Timing test on azure ml

Question

I have created data sets of various sizes say 1GB, 2GB, 3GB, 4GB (< 10 GB) and executing various machine learning models on Azure ML.

1) Can I know what is the server specifications (RAM, CPU) that is provided in the Azure ML service.

2) Also at times the reader says "Memory exhaust" for >4GB of data.Though azure ml should be able to handle 10GB of data as per documentation.

3) If I run multiple experiments(in different tabs of browser) in parallel, its taking more time.

4) Is there any way to set the RAM, CPU cores in Azure ML

Answer 1

I have a partial answer: 1. no, it's abstracted

2. The following types of data can expand into larger datasets during feature normalization, and are limited to less than 10 GB:

   Sparse Categorical Strings Binary data

(see this)

3. I'm not sure, but while working on it, I didn't experience any change when running a single experiment and multiple experiment

4. you can scale the machines in the standard tier (see this)