oddt.scoring.models package

Submodules

oddt.scoring.models.classifiers module

oddt.scoring.models.classifiers.randomforest

alias of RandomForestClassifier

class oddt.scoring.models.classifiers.svm(*args, **kwargs)

Bases: oddt.scoring.models.classifiers.OddtClassifier

Methods

fit(descs, target_values, **kwargs)
get_params([deep])
predict(descs)
predict_log_proba(descs)
predict_proba(descs)
score(descs, target_values)
set_params(**kwargs)

fit(descs, target_values, **kwargs)

get_params(deep=True)

predict(descs)

predict_log_proba(descs)

predict_proba(descs)

score(descs, target_values)

set_params(**kwargs)

class oddt.scoring.models.classifiers.neuralnetwork(*args, **kwargs)

Bases: oddt.scoring.models.classifiers.OddtClassifier

Methods

fit(descs, target_values, **kwargs)
get_params([deep])
predict(descs)
predict_log_proba(descs)
predict_proba(descs)
score(descs, target_values)
set_params(**kwargs)

fit(descs, target_values, **kwargs)

get_params(deep=True)

predict(descs)

predict_log_proba(descs)

predict_proba(descs)

score(descs, target_values)

set_params(**kwargs)

oddt.scoring.models.regressors module

Collection of regressors models

oddt.scoring.models.regressors.randomforest

alias of RandomForestRegressor

class oddt.scoring.models.regressors.svm(*args, **kwargs)

Bases: oddt.scoring.models.regressors.OddtRegressor

Methods

fit(descs, target_values, **kwargs)
get_params([deep])
predict(descs)
score(descs, target_values)
set_params(**kwargs)

fit(descs, target_values, **kwargs)

get_params(deep=True)

predict(descs)

score(descs, target_values)

set_params(**kwargs)

oddt.scoring.models.regressors.pls

alias of PLSRegression

class oddt.scoring.models.regressors.neuralnetwork(*args, **kwargs)

Bases: oddt.scoring.models.regressors.OddtRegressor

Methods

fit(descs, target_values, **kwargs)
get_params([deep])
predict(descs)
score(descs, target_values)
set_params(**kwargs)

fit(descs, target_values, **kwargs)

get_params(deep=True)

predict(descs)

score(descs, target_values)

set_params(**kwargs)

oddt.scoring.models.regressors.mlr

alias of LinearRegression

Module contents