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ChandraLingam / AmazonSageMakerCourse

In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning
https://www.udemy.com/course/aws-machine-learning-a-complete-guide-with-python/?referralCode=9ADB4395937F7D656EB9
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DeepAR- Future Prediction #4

Open monikabala opened 5 years ago

monikabala commented 5 years ago

Hi, I am having data from 1st feb 2019 to 10th sep 2019. Want to predict after 10th sep 2019 for univariate. I am not using any dynamic features . I have splited the data for train from 1st feb to 31st aug 2019 and for test from 1st sep to 10th sep. If it's correct, what i have to give it in max predict date, start date and end date?? what are the hyperparameters i have to set ?? where i have to make changes in the code to get the prediction??

nicolasignaciopinocea commented 5 years ago

Hello, i studying the deepAR algorithm, i will like understand the output of model. The percentile value are confidence interval? or credibility interval? why the first is a approach frequentist and second a approa ch bayesian. The second question is about if i can get the value of variable that are predicting or just i can see information of the probability distribucion