Join Jonathan Fernandes for an in-depth discussion in this video Creating multiclass batch predictions, part of AWS Machine Learning by Example.
- [Instructor] So in this video,…we're going to head back to the Machine Learning dashboard…and create a new datasource.…So I select the Amazon Machine Learning.…I select the dashboard.…I select create new, and datasource.…I provide the location of my test.csv files,…so that's ml-forest-type…and you see it's test-small.csv.…I give that datasource a name, so Forest Test,…select verify, select continue,…and we can confirm that the first line…contains the column names.…
Now if you remember, from the training set,…anything that had the word soil in it,…was of a type binary.…So let's select soil.…Select all of the entries with soil.…Let's view 100 items per page.…And let's change these all to type binary.…In the same way,…anything of type wilderness was also of type binary,…so I'm going to select all of them,…I'm going to change them to type binary,…and I'm going to select continue.…
So now, this test data set is in the same format…as our training data set,…and they should have the same schema.…So we shouldn't have the problems that we did…
Author
Released
4/25/2018- Learning algorithms and hyperparameters
- Preparing data for AWS
- Using binary, multiclass, and regression techniques
- Creating a datasource
- Generating predictions
- Creating and interpreting batch predictions
- Additional AWS capabilities
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome56s
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Setting up an AWS account1m 49s
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1. Introduction to Machine Learning
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Machine learning overview1m 34s
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2. Binary Model
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Preparing our data for AWS4m 48s
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Creating a datasource2m 25s
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3. Multiclass Model
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Multiclass data preparation4m 27s
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4. Regression Model
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Regression batch predictions2m 59s
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5. Overview of Other AWS Capabilities
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Conclusion
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Next steps39s
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Video: Creating multiclass batch predictions