predictMC: Predict using a previously trained classifier, given a matrix...
In jlricon/MaxClassify: An efficient maximum entropy classifier, with some convenience functions
Description
Usage
Arguments
Value
Description
Predict using a previously trained classifier, given a matrix with labels and probabilities
Usage
1
predictMC(model, feature_matrix, probabilities = -1, batches = 1)
Arguments
model
A MaxEnt model
feature_matrix
The basis for prediction
probabilities
-1, 0, 1 Return probabilities for all classes / only labels / only the top class
batches
In how many batches to split the dataset. This uses multithreading.
Value
A data frame with predictions
jlricon/MaxClassify documentation built on May 29, 2019, 2:56 p.m.
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Description Usage Arguments Value
Description
Predict using a previously trained classifier, given a matrix with labels and probabilities
Usage
1 | predictMC(model, feature_matrix, probabilities = -1, batches = 1)
|
Arguments
model |
A MaxEnt model |
feature_matrix |
The basis for prediction |
probabilities |
-1, 0, 1 Return probabilities for all classes / only labels / only the top class |
batches |
In how many batches to split the dataset. This uses multithreading. |
Value
A data frame with predictions
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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