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)
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]¶ 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)
-
oddt.scoring.models.regressors.
mlr
¶ alias of
LinearRegression