Generic classes

The different algorithms in this library inherits from these generic classes.

Predictor

class pyridge.generic.predictor.Predictor(classification: bool = True, logging: bool = True)

get_indicator(test_data)

Parameters

test_data (numpy.array) – array like.

Returns

predicted labels.

instance_param_(train_data, train_target, parameter)

Instance parameters from dict.

Parameters

• train_data (numpy.matrix) –

• train_target (numpy.array) –

• parameter (dict) –

Returns

predict_classifier(test_data)

Predict the label.

Parameters

test_data (numpy.array) – array like.

Returns

predicted labels.

predict_proba(test_data)

Predict the probability.of class.

Parameters

test_data (numpy.array) – array like.

Returns

predicted labels.

predict_regressor(test_data)

Predict the value (for linear).

Parameters

test_data (numpy.array) – array like.

Returns

predicted values.

target_classification(train_target)

Parameters

train_target –

Returns

target_regression(train_target)

Parameters

train_target –

Returns

Neural Method

class pyridge.generic.NeuralMethod(classification: bool = True, logging: bool = True)

get_h_matrix(data)

Parameters

data –

Returns

Kernel Method

class pyridge.generic.KernelMethod(classification: bool = True, logging: bool = True)