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Functions37 in github.com/Hrishikesh332/HCDS-EPD

⨍ Functions 37◇ Types & classes 0
↓ 4 callersFunctiontrain_arima
(ts_data, forecast_periods=5)
utils.py:88
↓ 3 callersFunctiondashboard
(df)
nav/dashboard.py:6
↓ 2 callersFunctioncreate_region_selector
(df)
config.py:3
↓ 2 callersFunctiongen_sample_data
()
utils.py:38
↓ 1 callersFunctionbnf_category_clustering
(df, n_clusters)
nav/clustering.py:172
↓ 1 callersFunctioncategory_analysis
(df)
nav/categories.py:5
↓ 1 callersFunctioncategory_overview
(filtered_df, category_totals)
nav/categories.py:35
↓ 1 callersFunctioncategory_trends
(filtered_df, category_totals, selected_categories)
nav/categories.py:73
↓ 1 callersFunctioncluster_details
(regional_features, feature_cols)
nav/clustering.py:153
↓ 1 callersFunctioncluster_overview
(regional_features)
nav/clustering.py:64
↓ 1 callersFunctioncluster_visualization
(regional_features, X_scaled, feature_cols)
nav/clustering.py:78
↓ 1 callersFunctionclustering_analysis
(df)
nav/clustering.py:10
↓ 1 callersFunctionconfigure_detection_parameters
(df)
nav/outliers.py:13
↓ 1 callersFunctioncreate_map
(df, selected_region=None)
utils.py:126
↓ 1 callersFunctioncreate_multi_category_forecast
(region_data, selected_categories, forecast_months)
nav/forecasting.py:33
↓ 1 callersFunctioncreate_nav
()
app.py:89
↓ 1 callersFunctioncreate_sidebar
()
app.py:117
↓ 1 callersFunctiondetect_outliers
(df, method, threshold, contamination, analysis_type)
utils.py:254
↓ 1 callersFunctionfairness_analysis
(df)
nav/fairness.py:5
↓ 1 callersFunctionforecast_accuracy_metrics
(ts_data, forecast_periods)
nav/forecasting.py:212
↓ 1 callersFunctionforecast_insights
(region_data, selected_categories, forecast_periods)
nav/forecasting.py:199
↓ 1 callersFunctionforecasting
(df)
nav/forecasting.py:7
↓ 1 callersFunctiongen_real_pred_errors
(df, test_periods=6)
utils.py:370
↓ 1 callersFunctiongeographic_distribution
(regional_features)
nav/clustering.py:118
↓ 1 callersFunctionload_and_cache_data
()
app.py:143
↓ 1 callersFunctionload_data
()
utils.py:26
↓ 1 callersFunctionmain
()
app.py:75
↓ 1 callersFunctionoutlier_analysis
(df)
nav/outliers.py:6
↓ 1 callersFunctionoutlier_analytics
(df, regional_outliers)
nav/outliers.py:70
↓ 1 callersFunctionregional_analysis
(df_errors)
nav/fairness.py:27
↓ 1 callersFunctionregional_clustering
(df, n_clusters)
nav/clustering.py:30
↓ 1 callersFunctionregional_outlier_analysis
(df, detection_method, threshold, contamination)
nav/outliers.py:40
↓ 1 callersFunctionroute_to_page
(df)
app.py:146
↓ 1 callersFunctiontime_series_overview
(df)
nav/dashboard.py:65
Functionapply_clustering
(X_scaled, algorithm, n_clusters)
utils.py:359
Functioncalc_fairness_metrics
(df_errors)
utils.py:209
Functiongen_pred_errors
(df)
utils.py:179