keep_columns_from_dataset

dataset

The name or a list of names for the columns to keep.

columns

Indicates whether to validate if data can be loaded from the
returned dataset. The default is False. Validation requires that the data
source is accessible from current compute.

validate

Keep the specified columns and drops all others from the dataset.
If a timeseries column is dropped, the corresponding capabilities will be
dropped for the returned dataset as well.

Interface to the 'Azure Machine Learning' Software Development Kit
('SDK'). Data scientists can use the 'SDK' to train, deploy, automate, and
manage machine learning models on the 'Azure Machine Learning' service. To
learn more about 'Azure Machine Learning' visit the website:
<https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.

Diondra Peck

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

Minna Xiao

AzureML R SDK Team 

Microsoft 

 Google Inc.

 The TensorFlow Authors

 RStudio Inc.

keep_columns_from_dataset function

Keep the specified columns and drops all others from the dataset. — keep_columns_from_dataset

Keep the specified columns and drops all others from the dataset.

keep_columns_from_dataset: Keep the specified columns and drops all others from the dataset.

Description

Usage

Arguments

Value