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weka.classifiers.functions.SGD
weka.classifiers.functions.SGD
2
Weka_3.9.5_15519
Weka implementation.
2021-06-08T15:43:14
English
Weka_3.9.5
-do-not-check-capabilities
flag
["false"]
If set, classifier capabilities are not checked before classifier is built
(use with caution).
C
option
["0.001"]
The epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3)
E
option
["500"]
The number of epochs to perform (batch learning only, default = 500)
F
option
["0"]
Set the loss function to minimize.
0 = hinge loss (SVM), 1 = log loss (logistic regression),
2 = squared loss (regression), 3 = epsilon insensitive loss (regression),
4 = Huber loss (regression).
(default = 0)
L
option
["0.01"]
The learning rate. If normalization is
turned off (as it is automatically for streaming data), then the
default learning rate will need to be reduced (try 0.0001).
(default = 0.01).
M
flag
["false"]
Don't replace missing values
N
flag
["false"]
Don't normalize the data
R
option
["1.0E-4"]
The lambda regularization constant (default = 0.0001)
S
option
["1"]
Random number seed.
(default 1)
batch-size
option
[]
The desired batch size for batch prediction (default 100).
num-decimal-places
option
[]
The number of decimal places for the output of numbers in the model (default 2).
output-debug-info
flag
["false"]
If set, classifier is run in debug mode and
may output additional info to the console
weka
weka_3.9.5