ltn_train: Train a prediction model to score LTNs from a sample of size,...
In atfutures-labs/LTN: Efficient Identification of Neighbourhoods within Networks
Description
Usage
Arguments
Value
Description
Train a prediction model to score LTNs from a sample of size, 'n'.
Usage
1
ltn_train(nbs, n = 100, dmax = 10000)
Arguments
nbs
Output of main neighbourhoods function.
n
Size of sample to use in training and predicting data sets.
dmax
Maximal distance in metres around neighbourhood to use to
generate scores.
Value
A trained model which can be used to predict additional LTN scores.
atfutures-labs/LTN documentation built on Jan. 6, 2022, 4:11 p.m.
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Description Usage Arguments Value
Description
Train a prediction model to score LTNs from a sample of size, 'n'.
Usage
1 | ltn_train(nbs, n = 100, dmax = 10000)
|
Arguments
nbs |
Output of main neighbourhoods function. |
n |
Size of sample to use in training and predicting data sets. |
dmax |
Maximal distance in metres around neighbourhood to use to generate scores. |
Value
A trained model which can be used to predict additional LTN scores.
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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