oddt.scoring.models package¶

Submodules¶

oddt.scoring.models.classifiers module¶

oddt.scoring.models.classifiers.randomforest¶: alias of RandomForestClassifier

oddt.scoring.models.classifiers.svm¶: alias of SVC

oddt.scoring.models.neuralnetwork module¶

class oddt.scoring.models.neuralnetwork.neuralnetwork(shape=None, full_conn=True, biases=True, random_weights=True, normalize=True, reduce_empty_dims=True)[source]¶

Bases: object

shape: shape of a NN given as a tuple

Methods

`fit`(input_descriptors, target_values[, ...])
`get_params`([deep])
`predict`(input_descriptors)
`score`(X, y)
`set_params`(args)

fit(input_descriptors, target_values, train_alg='tnc', **kwargs)[source]¶

get_params(deep=True)[source]¶

predict(input_descriptors)[source]¶

score(X, y)[source]¶

set_params(args)[source]¶

oddt.scoring.models.regressors module¶

Collection of regressors models

oddt.scoring.models.regressors.randomforest¶: alias of RandomForestRegressor

oddt.scoring.models.regressors.svm¶: alias of SVR

oddt.scoring.models.regressors.pls¶: alias of PLSRegression

class oddt.scoring.models.regressors.neuralnetwork(shape=None, full_conn=True, biases=True, random_weights=True, normalize=True, reduce_empty_dims=True)[source]¶