ResampleCalls: ResampleCalls Class

In five-dots/ml4e: Machine Learning for Everyone

Description

Key-value dictionary contains call class objects. The calls must be calls that generate rset class object from rsample::rsample package. This class is usually passed to Datasets class then used to generate resamples from datasets.

Usage

new_resample_calls(...)

Arguments

...	Key and value pairs.

Value

A new ResampleCalls class object.

Super classes

Dict::Dict -> ml4e::Option -> ResampleCalls

Methods

Public methods

• ResampleCalls$new()

• ResampleCalls$print()

• ResampleCalls$get_resample()

• ResampleCalls$clone()

Inherited methods

• Dict::Dict$get()

• Dict::Dict$has()

• Dict::Dict$sort()

• ml4e::Option$add()

• ml4e::Option$clear()

• ml4e::Option$print_items()

• ml4e::Option$remove()

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Method new()

Construct a new ResampleCalls class object.

Usage

ResampleCalls$new(...)

Arguments

...

Key and value pairs.

Returns

A new ResampleCalls class object

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Method print()

Print object.

Usage

ResampleCalls$print()

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Method get_resample()

Get resample data.

Usage

ResampleCalls$get_resample(data = NULL, resample_call_key = NULL, seed = NULL)

Arguments

data

A data.frame to be converted to a resample.

resample_call_key

A character or integer scalar of the resample_calls keys.

seed

A integer scalar seed.

Returns

A resample of rset class object.

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Method clone()

The objects of this class are cloneable with this method.

Usage

ResampleCalls$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

five-dots/ml4e documentation built on June 19, 2020, 4:26 p.m.