ModifierMLkeras-class: ModifierMLkeras class

In FelixErnst/RNAmodR.ML: Detecting patterns of post-transcriptional modifications using machine learning

Description

The ModifierMLkeras class extends the virtual class ModifierMLModel and unifies the access to Keras machine learning models used in the detection of post-transcriptional modifications in RNA sequencing data. The ModifierMLkeras class is virtual itself and must be extended from for each individual machine learning model.

The ModifierMLkeras class extends the virtual class ModifierMLModel and unifies the access to Keras machine learning models used in the detection of post-transcriptional modifications in RNA sequencing data. The ModifierMLkeras class is virtual itself and must be extended from for each individual machine learning model.

Since a stored model needs to be loaded from file, the additional slot modelFile is used and can be accessed through a function of the same name. Upon creation of a ModifierMLkeras object, the model is loaded from file, if modelFile is not an empty character value and a valid file name.

Usage

## S4 method for signature 'ModifierMLkeras,ModifierML'
useModel(x, y)

Arguments

x	a ModifierMLkeras object
y	a ModifierML object

Value

a ModifierMLkeras object

Slots

modelFile

a character vector of length == 1L, which describes a model to load via load_model_hdf5. The model is then stored in the model slot.

See Also

ModifierMLModel

FelixErnst/RNAmodR.ML documentation built on July 24, 2020, 1:34 a.m.