SGD classifier trainer
Train a stochastic gradient descent (SGD) linear classifier
Trainer of a linear classifier with stochastic gradient descent (SGD). Fit a SGD linear classifier with a training table.
See https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html for more details.
Input
Output
Configuration
training_design
Define the training design, i.e. the target Y to use for the model.
List-1target_name
The name of the 'columns' or 'row_tag keys' to use as targets or labels.
stringtarget_origin
The origin of the target. Notice: Targets comming from a 'row_tag' are always considered as categorical.
stringcolumn row_tag columntarget_type
The type of the target (categorical or numerical). Set 'auto' to infer the correct type. Notice: targets comming from row_tags are allways considered as categorical
stringauto categorical numerical autoloss
stringhinge log_loss log modified_huber squared_hinge perceptron squared_error huber epsilon_insensitive squared_epsilon_insensitive hingealpha
float0.0001max_iter
int1000