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Linear Model

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Base Class

linear_model.LinearModel(coef[, intercept])

InMemoryModel implementation of linear algorithms.

Methods:

LinearModel.get_attributes()	Returns the model attributes.
LinearModel.predict(X)	Predicts using the input Matrix.
LinearModel.predict_proba(X)	Computes the model's probabilites using the input matrix.
LinearModel.predict_proba_sql(X)	Returns the SQL code needed to deploy the model probabilities using its attributes.
LinearModel.predict_sql(X)	Returns the SQL code needed to deploy the model using its attributes.
LinearModel.set_attributes(**kwargs)	Sets the model attributes.

Attributes:

LinearModel.object_type

Must be overridden in child class

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Linear Model Classifier

linear_model.LinearModelClassifier(coef[, ...])

InMemoryModel Implementation of linear algorithms for classification.

Methods:

LinearModelClassifier.get_attributes()	Returns the model attributes.
LinearModelClassifier.predict(X)	Predicts using the input matrix.
LinearModelClassifier.predict_proba(X)	Computes the model's probabilites using the input matrix.
LinearModelClassifier.predict_proba_sql(X)	Returns the SQL code needed to deploy the model probabilities using its attributes.
LinearModelClassifier.predict_sql(X)	Returns the SQL code needed to deploy the model using its attributes.
LinearModelClassifier.set_attributes(**kwargs)	Sets the model attributes.

Attributes:

LinearModelClassifier.object_type

Must be overridden in child class

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