Classifier Documentation

Classifier

class xframes.toolkit.classify.LogisticRegressionWithSGDBuilder(features, labels, standardize=False)[source]

LogisticRegressionWith SGD Builder

Builds a Logistic Regression model from features and labels.

Parameters:

features : XFrame

The features used to build the model.

labels : XArray

The labels. Each label applies to the corresponding features.

__init__(features, labels, standardize=False)[source]
class xframes.toolkit.classify.LogisticRegressionWithLBFGSBuilder(features, labels, standardize=False)[source]

LogisticRegressionWith LBFGS Builder

Builds a Logistic Regression model from features and labels.

Parameters:

features : XFrame

The features used to build the model.

labels : XArray

The labels. Each label applies to the corresponding features.

__init__(features, labels, standardize=False)[source]
class xframes.toolkit.classify.SVMWithSGDBuilder(features, labels, standardize=False)[source]

SVM SGD Builder

Builds a SVM model from features and labels.

Parameters:

features : XFrame

The features used to build the model.

labels : XArray

The labels. Each label applies to the corresponding features.

__init__(features, labels, standardize=False)[source]
class xframes.toolkit.classify.NaiveBayesBuilder(features, labels, standardize=False)[source]

Naive Bayes Builder

Builds a Naive Bayes model from features and labels.

Parameters:

features : XFrame

The features used to build the model.

labels : XArray

The labels. Each label applies to the corresponding features.

__init__(features, labels, standardize=False)[source]
class xframes.toolkit.classify.DecisionTreeBuilder(features, labels, standardize=False)[source]

Decision Tree Builder

Builds a decision tree model from features and labels.

Parameters:

features : XFrame

The features used to build the model.

labels : XArray

The labels. Each label applies to the corresponding features.

__init__(features, labels, standardize=False)[source]