The Joy Of Hyperparameters

Koos van Strien shows how to tune hyperparameters using Azure ML:

Today, we’ll focus on tuning the model’s properties. We won’t discuss the details of all properties (you can easily look that up in the docs), instead we’ll look at how to test for different parameter combinations insize Azure ML Studio.

As soon as you click on an untrained model inside your experiment, you’ll be presented with some parameters – or, in ML parlance, hyperparameters – you can tweak.

Parameter tuning is pretty easy using Azure ML.

Related Posts

The Uniqueness of Cosmos DB Unique Keys

Hasan Savran explains the scope of unique keys in Cosmos DB: I wrote about Unique Keys and tried to explain how they work in one of my earlier post. It’s common to use SQL Server’s Primary Key or Unique Indexes to explain Unique Keys of Azure Cosmos DB. If you have a Primary Key in a […]

Read More

The Databricks File System

Brad Llewellyn takes us through the Azure Databricks File System: Today, we’re going to talk about the Databricks File System (DBFS) in Azure Databricks.  If you haven’t read the previous posts in this series, Introduction, Cluster Creation and Notebooks, they may provide some useful context.  You can find the files from this post in our GitHub Repository.  Let’s move on […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930