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

Building a Big Data Cluster

Mohammad Darab continues a series on SQL Server Big Data Clusters in Azure Kubernetes Service: To kick off the Big Data Cluster “Default configuration” creation, we will execute the following Powershell command: mssqlctl cluster create That will first prompt us to accept the license terms. Type y and Enter.  Mohammad takes us through the default installation, which […]

Read More

Using the Cosmos DB Data Migration Tool

Hasan Savran shows how you can use the Cosmos DB Data Migration Tool to move data from various sources into Cosmos DB: All you need is the connection string of your database or location of your source files and your CosmosDB keys. If you are using a database as source, you can format the data […]

Read More

Categories

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