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EvoMSA 2.0.6 documentation
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_
__init__() (BoW method)
(BoWBP method)
(Cache method)
(Comp2023 method)
(ConfidenceInterval method)
(DenseBoW method)
(DenseBoWBP method)
(EvoMSA method)
(LabelEncoderWrapper method)
(Linear method)
(StackGeneralization method)
__new__() (BoW method)
(BoWBP method)
(DenseBoW method)
(DenseBoWBP method)
(StackGeneralization method)
B
b4msa_fit() (BoW method)
b4msa_kwargs (BoW property)
bias (DenseBoW property)
bootstrap_confidence_interval() (in module EvoMSA.utils)
bow (BoW property)
BoW (class in EvoMSA.text_repr)
bow() (Comp2023 method)
bow_training_set() (Comp2023 method)
bow_voc_selection() (Comp2023 method)
BoWBP (class in EvoMSA.back_prop)
C
cache (BoW property)
Cache (class in EvoMSA.utils)
cache (EvoMSA property)
classifier (EvoMSA property)
(LabelEncoderWrapper property)
coef (Linear property)
Comp2023 (class in EvoMSA.competitions)
ConfidenceInterval (class in EvoMSA.utils)
D
dataset (DenseBoW property)
dataset_information() (in module EvoMSA.utils)
decision_function() (BoW method)
decision_function_models (StackGeneralization property)
decision_function_name (BoW property)
DenseBoW (class in EvoMSA.text_repr)
DenseBoWBP (class in EvoMSA.back_prop)
dependent_variable() (BoW method)
deviation (BoWBP property)
E
emoji (DenseBoW property)
emoji_information() (in module EvoMSA.utils)
estimator_class (BoW property)
estimator_instance (BoW property)
estimator_kwargs (BoW property)
evolution (BoWBP property)
EvoMSA (class in EvoMSA.base)
EvoMSA.utils
module
F
feature_selection (DenseBoW property)
first_stage() (EvoMSA method)
fit() (BoW method)
(DenseBoW method)
(EvoMSA method)
(LabelEncoderWrapper method)
(StackGeneralization method)
fromjson() (DenseBoW method)
I
intercept (Linear property)
K
key (BoW property)
keyword (DenseBoW property)
kfold_class (BoW property)
kfold_kwargs (BoW property)
kfold_supervised_learning() (EvoMSA method)
L
label_key (BoW property)
LabelEncoderWrapper (class in EvoMSA.utils)
labels (Linear property)
lang (BoW property)
Linear (class in EvoMSA.utils)
linearSVC_array() (in module EvoMSA.utils)
load_dataset() (in module EvoMSA.utils)
M
mixer_func (BoW property)
models (EvoMSA property)
module
EvoMSA.utils
N
N (Linear property)
n_jobs (BoW property)
names (BoW property)
(DenseBoW property)
norm_weights (DenseBoW property)
P
parameters (BoWBP property)
predict() (BoW method)
(DenseBoW method)
(EvoMSA method)
pretrain (BoW property)
S
select() (DenseBoW method)
skip_dataset (DenseBoW property)
stack_2_bow_all_keywords() (Comp2023 method)
stack_2_bow_keywords() (Comp2023 method)
stack_2_bow_tailored_all_keywords() (Comp2023 method)
stack_2_bow_tailored_keywords() (Comp2023 method)
stack_3_bow_tailored_all_keywords() (Comp2023 method)
stack_3_bows() (Comp2023 method)
stack_3_bows_tailored_keywords() (Comp2023 method)
stack_bow_keywords_emojis() (Comp2023 method)
stack_bow_keywords_emojis_voc_selection() (Comp2023 method)
stack_bows() (Comp2023 method)
stacked_method (EvoMSA property)
StackGeneralization (class in EvoMSA.text_repr)
T
text_representations (DenseBoW property)
text_representations_extend() (DenseBoW method)
textModels (EvoMSA property)
train_predict_decision_function() (BoW method)
transform() (BoW method)
(DenseBoW method)
(StackGeneralization method)
transform_models (StackGeneralization property)
U
unit_vector (DenseBoW property)
V
v1 (BoW property)
voc_selection (BoW property)
voc_size_exponent (BoW property)
W
weights (BoW property)
(DenseBoW property)
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