142
2
weka.MultiClassClassifierUpdateable_SGD
1
Weka_3.7.10_9248
Weka implementation of MultiClassClassifierUpdateable
2014-05-15T00:23:26
English
Weka_3.7.10
C
option
The epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3)
D
flag
If set, classifier is run in debug mode and
may output additional info to the console
E
option
The number of epochs to perform (batch learning only, default = 500)
F
option
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
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
option
0
Sets the method to use. Valid values are 0 (1-against-all),
1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)
N
flag
Don't normalize the data
P
flag
Use pairwise coupling (only has an effect for 1-against1)
R
option
2.0
Sets the multiplier when using random codes. (default 2.0)
S
option
1
Random number seed.
(default 1)
W
baselearner
weka.classifiers.functions.SGD
Full name of base classifier.
(default: weka.classifiers.functions.Logistic)
W
69
1
weka.SGD
1
Weka_3.7.10_9785
Weka implementation of SGD
2014-04-04T14:39:42
English
Weka_3.7.10
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
Don't replace missing values
N
flag
Don't normalize the data
R
option
1.0E-4
The lambda regularization constant (default = 0.0001)
Verified_Supervised_Classification
https://api.openml.org/data/download/12734/weka.classifiers.meta.MultiClassClassifierUpdateable5783977076671603727.class
class
5efa5b77dba1036b484f505b6ab883fd