sagemaker_tuning_job_logs: Sagemaker Tuning Job Logs
In tmastny/sagemaker: R Interface for the AWS Sagemaker API
Description
Returns parameter and validation results from the tuning job.
The result is a data frame has one row per model, along with the trained
validation metric.
Usage
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sagemaker_tuning_job_logs(x)
## S3 method for class 'sagemaker'
sagemaker_tuning_job_logs(x)
## S3 method for class 'character'
sagemaker_tuning_job_logs(x)
Arguments
x
Either the sagemaker model object created by
sagemaker_hyperparameter_tuner or sagemaker_attach_tuner
or the tuning job name.
tmastny/sagemaker documentation built on July 15, 2020, 4:17 p.m.
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Description
Returns parameter and validation results from the tuning job. The result is a data frame has one row per model, along with the trained validation metric.
Usage
1 2 3 4 5 6 7 | sagemaker_tuning_job_logs(x)
## S3 method for class 'sagemaker'
sagemaker_tuning_job_logs(x)
## S3 method for class 'character'
sagemaker_tuning_job_logs(x)
|
Arguments
x |
Either the |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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