Index

A

add_egress() (in module mood.util) analyze_all() (in module mood.model_analysis) analyze_by_data_type() (in module mood.model_analysis)

analyze_classifiers() (in module mood.model_analysis) analyze_regression_models() (in module mood.model_analysis) analyze_specific_attribute() (in module mood.model_analysis)

C

class_to_path() (in module mood.mood_modeling) compare_datasets() (in module mood.model_analysis)

compare_models_across_datasets() (in module mood.model_analysis) cross_validate_models() (mood.mood_modeling.MoodModelingManager method)

D

default_save_key() (in module mood.dataset_makers)

DimensionReducer (class in mood.mood_modeling)

F

filter_data() (mood.model_analysis.ModelPerformanceAnalyzer method) fit() (mood.mood_modeling.DimensionReducer method) (mood.mood_modeling.MoodEstimator method) (mood.mood_modeling.OrdinalRandomForest method)

fit_final_models() (mood.mood_modeling.MoodModelingManager method) fit_logistic_classifier() (in module mood.learn_sentiments) flair_sentiment_score() (in module mood.sentiment) from_arrays() (mood.mood_modeling.MoodModelingManager class method)

G

generate_attribute_modelability_table() (mood.model_analysis.ModelPerformanceAnalyzer method) generate_model_comparison_table() (mood.model_analysis.ModelPerformanceAnalyzer method) get_attributes() (mood.model_analysis.ModelPerformanceAnalyzer method) get_best_model() (mood.mood_modeling.MoodModelingManager method)

get_binary_y() (in module mood.learn_sentiments) get_data_types() (mood.model_analysis.ModelPerformanceAnalyzer method) get_metrics() (mood.model_analysis.ModelPerformanceAnalyzer method) get_model_summary() (mood.mood_modeling.MoodModelingManager method) get_models() (mood.model_analysis.ModelPerformanceAnalyzer method)

M

make_semantic_attributes_dataset() (in module mood.dataset_makers) ModelPerformanceAnalyzer (class in mood.model_analysis) ModelStatistics (class in mood.learn_sentiments) module mood mood.dataset_makers mood.examples mood.learn_sentiments mood.model_analysis mood.mood_modeling mood.scripts mood.scripts.financial_news_searches mood.sentiment mood.tools mood.util mood module mood.dataset_makers module

mood.examples module mood.learn_sentiments module mood.model_analysis module mood.mood_modeling module mood.scripts module mood.scripts.financial_news_searches module mood.sentiment module mood.tools module mood.util module MoodEstimator (class in mood.mood_modeling) MoodModelingManager (class in mood.mood_modeling)

O

OrdinalRandomForest (class in mood.mood_modeling)

P

path_to_class() (in module mood.mood_modeling) predict() (mood.mood_modeling.MoodEstimator method) (mood.mood_modeling.OrdinalRandomForest method) predict_mood() (mood.mood_modeling.MoodModelingManager method)

predict_proba() (mood.mood_modeling.MoodEstimator method) predict_with_model() (in module mood.learn_sentiments) prepare_binary_data() (mood.mood_modeling.MoodModelingManager method) prepare_numerical_data() (mood.mood_modeling.MoodModelingManager method) prepare_ordinal_data() (mood.mood_modeling.MoodModelingManager method)

S

sentiment_analysis() (in module mood.sentiment)

set_fit_request() (mood.mood_modeling.OrdinalRandomForest method) set_score_request() (mood.mood_modeling.OrdinalRandomForest method)

T

text_lines() (in module mood.dataset_makers) train_and_evaluate() (mood.mood_modeling.MoodModelingManager method)

transform() (mood.mood_modeling.DimensionReducer method) (mood.mood_modeling.MoodEstimator method)

V

visualize_attribute_modelability() (mood.model_analysis.ModelPerformanceAnalyzer method) visualize_correlation_matrix() (mood.model_analysis.ModelPerformanceAnalyzer method)

visualize_metric_distributions() (mood.model_analysis.ModelPerformanceAnalyzer method) visualize_model_comparison() (mood.model_analysis.ModelPerformanceAnalyzer method) visualize_performance_radar() (mood.model_analysis.ModelPerformanceAnalyzer method)

X

x_and_y_with_boolean_y() (in module mood.mood_modeling)