predict.OnlineMultiLogisticRegression.Rd
Similar to other predict methods, this function predicts fitted values from a fitted "OnlineMultiLogisticRegression" object.
# S3 method for OnlineMultiLogisticRegression
predict(model, data, key, features = NULL, thread.ratio = NULL)
S3
methods
R6Class object
A "OnlineMultiLogisticRegression" object for prediction.
DataFrame
DataFrame containting the data.
character
Name of the ID column.
character of list of characters, optional
Name of feature columns for prediction.
If not provided, it defaults to all non-key columns of data.
double, optional
Controls the proportion of available threads that can be used by this
function.
The value range is from 0 to 1, where 0 indicates a single thread,
and 1 indicates all available threads.
Values between 0 and 1 will use up to
that percentage of available threads.Values outside this
range are ignored.
Defaults to 0.
Returns a Dataframe
containing predicted values, characteructured as follows.
ID column, with same name and type as `data`'s ID column.
CLASS, type NVARCHAR, predicted class name.
PROBABILITY, type DOUBLE.
omlr is an "OnlineMultiLogisticRegression" object.
Call predict() with df.predict:
> df.predict$Collect
ID X1 X2
0 1 1.2 0.7
1 2 1.0 -2.0
Invoke predict():
> fitted <- predict(omlr, df.predict, key="ID", features=list("X1", "X2"))
> fitted$Collect
ID CLASS PROBABILITY
0 1 0 0.539350
1 2 2 0.830026