Make Predictions from a

Similar to other predict methods, this function predicts fitted values from a fitted "GeometricRegression" object.

# S3 method for GeometricRegression
predict(
  model,
  data,
  key,
  features = NULL,
  thread.ratio = NULL,
  model.format = NULL
)

Arguments

model	`R6Class object` A "GeometricRegression" object for prediction.
data	`DataFrame` DataFrame containting the data.
key	`character` Name of the ID column.
features	`character, optional` Name of feature column for prediciton. If not provided, it defaults to the first non-key column of data.
thread.ratio	`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.
model.format	`character, optional` Choose the format of mdoel for prediction. optional are "coefficients" or "pmml". Defaults to "coefficients".

S3 methods

Predicted values are returned as a DataFrame, structured as follows.

DataFrame data2 for prediction:

 > data2$Collect()
   ID X1
 1  0  1
 2  1  2
 3  2  3
 4  3  4
 5  4  5

Fitted values of the prediction data using model gr:

 > predict(model = gr, data = data2, key = "ID")
   ID     VALUE
 1  0  1.072219
 2  1  4.170538
 3  2  9.231373
 4  3 16.221851
 5  4 25.119354