How do you pick Lambda?
When choosing a lambda value, the goal is to strike the right balance between simplicity and training-data fit: If your lambda value is too high, your model will be simple, but you run the risk of underfitting your data. Your model won’t learn enough about the training data to make useful predictions.
What is the optimal value of lambda for the Box Cox transformation?
The Box-Cox normality plot shows that the maximum value of the correlation coefficient is at \lambda = -0.3. The histogram of the data after applying the Box-Cox transformation with \lambda = -0.3 shows a data set for which the normality assumption is reasonable.
How to tune Alpha and lambda parameters for Elastic net?
I am trying to tune alpha and lambda parameters for an elastic net based on the glmnet package. I found some sources, which propose different options for that purpose. According to this instruction I did an optimization based on the caret package.
What are best practices for working with AWS Lambda functions?
Best Practices for Working with AWS Lambda Functions. The following are recommended best practices for using AWS Lambda: Topics. Function Code. Function Configuration. Alarming and Metrics. Stream Event Invokes. Separate the Lambda handler from your core logic.
What happens when you reuse a lambda function?
Lambda purges idle connections over time. Attempting to reuse an idle connection when invoking a function will result in a connection error. To maintain your persistent connection, use the keep-alive directive associated with your runtime. For an example, see Reusing Connections with Keep-Alive in Node.js .
What’s the best way to deploy a lambda function?
See Deploy Java Lambda functions with .zip or JAR file archives for instructions. Minimize the complexity of your dependencies. Prefer simpler frameworks that load quickly on execution environment startup. For example, prefer simpler Java dependency injection (IoC) frameworks like Dagger or Guice, over more complex ones like Spring Framework.