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43 lines
1.3 KiB
Text
43 lines
1.3 KiB
Text
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/method_random_forest.R
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\name{random_forest}
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\alias{random_forest}
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\title{Predict scores using a random forest.}
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\usage{
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random_forest(
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id = "rforest",
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name = "Random forest",
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description = "Assessment by random forest",
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seed = 180199,
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n_models = NULL,
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control_ratio = 0.75
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)
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}
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\arguments{
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\item{id}{Unique ID for the method and its results.}
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\item{name}{Human readable name for the method.}
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\item{description}{Method description.}
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\item{seed}{The seed will be used to make the results reproducible.}
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\item{n_models}{This number specifies how many sets of training data should
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be created. For each set, there will be a model trained on the remaining
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training data and validated using this set. For non-training genes, the
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final score will be the mean of the result of applying the different
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models. There should be at least two training sets. The analysis will only
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work, if there is at least one reference gene per training set. By default,
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one model per reference gene will be used.}
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\item{control_ratio}{The proportion of random control genes that is included
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in the training data sets in addition to the reference genes. This should
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be a numeric value between 0.0 and 1.0.}
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}
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\value{
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An object of class \code{geposan_method}.
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}
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\description{
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Predict scores using a random forest.
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}
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