diff --git a/init-data/init_db.sql b/init-data/init_db.sql index aa2b7e14..afae0a30 100644 --- a/init-data/init_db.sql +++ b/init-data/init_db.sql @@ -1,29 +1,30 @@ -- Insert Models INSERT INTO "model" ("UUID", "NAME", "DESCRIPTION", "MODEL_TYPE", "DATA_TYPE", "GRANULARITY", "FEATURES", "OUTPUTS", "TARGET", "TIMESTAMP", "FRAMEWORKS", "ALGORITHM", "CREATED_AT", "UPDATED_AT", "DELETED") VALUES -('e02f2aed-cd29-4703-8faf-2dcab9fc668e', 'demo_binary_model', NULL, 'BINARY', 'TABULAR', 'HOUR', '[{"name": "age", "type": "int", "fieldType": "numerical"}, {"name": "workclass", "type": "string", "fieldType": "categorical"}, {"name": "fnlwgt", "type": "int", "fieldType": "numerical"}, {"name": "education", "type": "string", "fieldType": "categorical"}, {"name": "educational-num", "type": "int", "fieldType": "numerical"}, {"name": "marital-status", "type": "string", "fieldType": "categorical"}, {"name": "occupation", "type": "string", "fieldType": "categorical"}, {"name": "relationship", "type": "string", "fieldType": "categorical"}, {"name": "race", "type": "string", "fieldType": "categorical"}, {"name": "gender", "type": "string", "fieldType": "categorical"}, {"name": "capital-gain", "type": "int", "fieldType": "numerical"}, {"name": "capital-loss", "type": "int", "fieldType": "numerical"}, {"name": "hours-per-week", "type": "int", "fieldType": "numerical"}, {"name": "native-country", "type": "string", "fieldType": "categorical"}]', '{"output": [{"name": "pred_id", "type": "string", "fieldType": "categorical"}, {"name": "prob_class_1", "type": "float", "fieldType": "numerical"}, {"name": "prediction", "type": "int", "fieldType": "numerical"}], "prediction": {"name": "prediction", "type": "int", "fieldType": "numerical"}, "prediction_proba": {"name": "prob_class_1", "type": "float", "fieldType": "numerical"}}', '{"name": "income_>50K", "type": "int", "fieldType": "numerical"}', '{"name": "timestamp", "type": "datetime", "fieldType": "datetime"}', NULL, NULL, NOW(), NOW(), FALSE), -('756204a0-a6ba-44c2-b287-ca828e2b2441', 'demo_multiclass_model', NULL, 'MULTI_CLASS', 'TABULAR', 'DAY', '[{"name": "age", "type": "int", "fieldType": "numerical"}, {"name": "sex", "type": "int", "fieldType": "numerical"}, {"name": "cp", "type": "int", "fieldType": "numerical"}, {"name": "trestbps", "type": "int", "fieldType": "numerical"}, {"name": "chol", "type": "int", "fieldType": "numerical"}, {"name": "fbs", "type": "int", "fieldType": "numerical"}, {"name": "restecg", "type": "int", "fieldType": "numerical"}, {"name": "thalach", "type": "int", "fieldType": "numerical"}, {"name": "exang", "type": "int", "fieldType": "numerical"}, {"name": "oldpeak", "type": "float", "fieldType": "numerical"}, {"name": "slope", "type": "int", "fieldType": "numerical"}, {"name": "ca", "type": "int", "fieldType": "numerical"}, {"name": "thal", "type": "int", "fieldType": "numerical"}]', '{"output": [{"name": "prediction", "type": "int", "fieldType": "numerical"}, {"name": "prediction_proba", "type": "float", "fieldType": "numerical"}, {"name": "pred_id", "type": "string", "fieldType": "categorical"}], "prediction": {"name": "prediction", "type": "int", "fieldType": "numerical"}, "prediction_proba": {"name": "prediction_proba", "type": "float", "fieldType": "numerical"}}', '{"name": "ground_truth", "type": "int", "fieldType": "numerical"}', '{"name": "timestamp", "type": "datetime", "fieldType": "datetime"}', NULL, NULL, NOW(), NOW(), FALSE), -('6c48c7e1-442b-4c48-a218-95d07f40a805', 'demo_regression_model', NULL, 'REGRESSION', 'TABULAR', 'DAY', '[{"name": "Sex", "type": "string", "fieldType": "categorical"}, {"name": "Length", "type": "float", "fieldType": "numerical"}, {"name": "Diameter", "type": "float", "fieldType": "numerical"}, {"name": "Height", "type": "float", "fieldType": "numerical"}, {"name": "Whole_weight", "type": "float", "fieldType": "numerical"}, {"name": "Shucked_weight", "type": "float", "fieldType": "numerical"}, {"name": "Viscera_weight", "type": "float", "fieldType": "numerical"}, {"name": "Shell_weight", "type": "float", "fieldType": "numerical"}]', '{"output": [{"name": "prediction", "type": "int", "fieldType": "numerical"}, {"name": "pred_id", "type": "string", "fieldType": "categorical"}], "prediction": {"name": "prediction", "type": "int", "fieldType": "numerical"}, "prediction_proba": null}', '{"name": "ground_truth", "type": "int", "fieldType": "numerical"}', '{"name": "timestamp", "type": "datetime", "fieldType": "datetime"}', NULL, NULL, NOW(), NOW(), FALSE); +('b112781a-c1d9-48b7-a48f-80208b75d324', 'demo_binary_model', NULL, 'BINARY', 'TABULAR', 'HOUR', '[{"name": "age", "type": "int", "field_type": "numerical"}, {"name": "workclass", "type": "string", "field_type": "categorical"}, {"name": "fnlwgt", "type": "int", "field_type": "numerical"}, {"name": "education", "type": "string", "field_type": "categorical"}, {"name": "educational-num", "type": "int", "field_type": "numerical"}, {"name": "marital-status", "type": "string", "field_type": "categorical"}, {"name": "occupation", "type": "string", "field_type": "categorical"}, {"name": "relationship", "type": "string", "field_type": "categorical"}, {"name": "race", "type": "string", "field_type": "categorical"}, {"name": "gender", "type": "string", "field_type": "categorical"}, {"name": "capital-gain", "type": "int", "field_type": "numerical"}, {"name": "capital-loss", "type": "int", "field_type": "numerical"}, {"name": "hours-per-week", "type": "int", "field_type": "numerical"}, {"name": "native-country", "type": "string", "field_type": "categorical"}, {"name": "pred_id", "type": "string", "field_type": "categorical"}]', '{"output": [{"name": "prob_class_1", "type": "float", "field_type": "numerical"}, {"name": "prediction", "type": "int", "field_type": "numerical"}], "prediction": {"name": "prediction", "type": "int", "field_type": "numerical"}, "prediction_proba": {"name": "prob_class_1", "type": "float", "field_type": "numerical"}}', '{"name": "income_>50K", "type": "int", "field_type": "categorical"}', '{"name": "timestamp", "type": "datetime", "field_type": "datetime"}', NULL, NULL, NOW(), NOW(), 'f'), +('fc8f48b4-06f6-408d-b0cf-a1ead64fb82a', 'demo_multiclass_model', NULL, 'MULTI_CLASS', 'TABULAR', 'DAY', '[{"name": "age", "type": "int", "field_type": "numerical"}, {"name": "sex", "type": "int", "field_type": "numerical"}, {"name": "cp", "type": "int", "field_type": "numerical"}, {"name": "trestbps", "type": "int", "field_type": "numerical"}, {"name": "chol", "type": "int", "field_type": "numerical"}, {"name": "fbs", "type": "int", "field_type": "numerical"}, {"name": "restecg", "type": "int", "field_type": "numerical"}, {"name": "thalach", "type": "int", "field_type": "numerical"}, {"name": "exang", "type": "int", "field_type": "numerical"}, {"name": "oldpeak", "type": "float", "field_type": "numerical"}, {"name": "slope", "type": "int", "field_type": "numerical"}, {"name": "ca", "type": "int", "field_type": "numerical"}, {"name": "thal", "type": "int", "field_type": "numerical"}, {"name": "pred_id", "type": "string", "field_type": "categorical"}]', '{"output": [{"name": "prediction", "type": "int", "field_type": "numerical"}, {"name": "prediction_proba", "type": "float", "field_type": "numerical"}], "prediction": {"name": "prediction", "type": "int", "field_type": "numerical"}, "prediction_proba": {"name": "prediction_proba", "type": "float", "field_type": "numerical"}}', '{"name": "ground_truth", "type": "int", "field_type": "categorical"}', '{"name": "timestamp", "type": "datetime", "field_type": "datetime"}', NULL, NULL, NOW(), NOW(), 'f'), +('ec753890-6c5a-4a8b-8fc6-fe2de8c304dd', 'demo_regression_model', NULL, 'REGRESSION', 'TABULAR', 'DAY', '[{"name": "Sex", "type": "string", "field_type": "categorical"}, {"name": "Length", "type": "float", "field_type": "numerical"}, {"name": "Diameter", "type": "float", "field_type": "numerical"}, {"name": "Height", "type": "float", "field_type": "numerical"}, {"name": "Whole_weight", "type": "float", "field_type": "numerical"}, {"name": "Shucked_weight", "type": "float", "field_type": "numerical"}, {"name": "Viscera_weight", "type": "float", "field_type": "numerical"}, {"name": "Shell_weight", "type": "float", "field_type": "numerical"}, {"name": "pred_id", "type": "string", "field_type": "categorical"}]', '{"output": [{"name": "prediction", "type": "int", "field_type": "numerical"}], "prediction": {"name": "prediction", "type": "int", "field_type": "numerical"}, "prediction_proba": null}', '{"name": "ground_truth", "type": "int", "field_type": "numerical"}', '{"name": "timestamp", "type": "datetime", "field_type": "datetime"}', NULL, NULL, NOW(), NOW(), 'f'); -- Insert reference dataset INSERT INTO "reference_dataset" ("UUID", "MODEL_UUID", "PATH", "DATE", "STATUS") VALUES -('db15546e-16a3-4482-8317-323d66dbe409', 'e02f2aed-cd29-4703-8faf-2dcab9fc668e', 's3://test-bucket/e02f2aed-cd29-4703-8faf-2dcab9fc668e/reference/db15546e-16a3-4482-8317-323d66dbe409/reference-income.csv', NOW(), 'SUCCEEDED'), -('d8cb36a9-2f8b-4e45-bab0-aeaa259a9f46', '756204a0-a6ba-44c2-b287-ca828e2b2441', 's3://test-bucket/756204a0-a6ba-44c2-b287-ca828e2b2441/reference/d8cb36a9-2f8b-4e45-bab0-aeaa259a9f46/3_classes_reference.csv', NOW(), 'SUCCEEDED'), -('6ae1390e-656a-45aa-acd4-6f6b38e6acf4', '6c48c7e1-442b-4c48-a218-95d07f40a805', 's3://test-bucket/6c48c7e1-442b-4c48-a218-95d07f40a805/reference/6ae1390e-656a-45aa-acd4-6f6b38e6acf4/regression_abalone_reference.csv', NOW(), 'SUCCEEDED'); +('6332b16d-977d-4933-ac5c-eed9dd646266', 'b112781a-c1d9-48b7-a48f-80208b75d324', 's3://test-bucket/b112781a-c1d9-48b7-a48f-80208b75d324/reference/6332b16d-977d-4933-ac5c-eed9dd646266/reference-income.csv', '2024-10-28 08:56:18.952995+00', 'SUCCEEDED'), +('d112399b-4f99-451d-a5f2-e5682a22a4ec', 'fc8f48b4-06f6-408d-b0cf-a1ead64fb82a', 's3://test-bucket/fc8f48b4-06f6-408d-b0cf-a1ead64fb82a/reference/d112399b-4f99-451d-a5f2-e5682a22a4ec/3_classes_reference.csv', '2024-10-28 09:40:42.393618+00', 'SUCCEEDED'), +('44d9da7b-fb5a-4932-a108-dfedf2c296d9', 'ec753890-6c5a-4a8b-8fc6-fe2de8c304dd', 's3://test-bucket/ec753890-6c5a-4a8b-8fc6-fe2de8c304dd/reference/44d9da7b-fb5a-4932-a108-dfedf2c296d9/regression_abalone_reference.csv', '2024-10-28 10:10:30.223914+00', 'SUCCEEDED'); -- Insert current dataset INSERT INTO "current_dataset" ("UUID", "MODEL_UUID", "PATH", "DATE", "CORRELATION_ID_COLUMN", "STATUS") VALUES -('b73334fb-aac0-400c-9103-fe894e13bd95', 'e02f2aed-cd29-4703-8faf-2dcab9fc668e', 's3://test-bucket/e02f2aed-cd29-4703-8faf-2dcab9fc668e/current/b73334fb-aac0-400c-9103-fe894e13bd95/current1-income.csv', NOW(), NULL, 'SUCCEEDED'), -('dda74c14-91de-4ae8-a432-3a2f8ccdd153', '756204a0-a6ba-44c2-b287-ca828e2b2441', 's3://test-bucket/756204a0-a6ba-44c2-b287-ca828e2b2441/current/dda74c14-91de-4ae8-a432-3a2f8ccdd153/3_classes_current1.csv', NOW(), NULL, 'SUCCEEDED'), -('edb6ed6c-6e2d-44fa-8a60-40540aec9c03', '6c48c7e1-442b-4c48-a218-95d07f40a805', 's3://test-bucket/6c48c7e1-442b-4c48-a218-95d07f40a805/current/edb6ed6c-6e2d-44fa-8a60-40540aec9c03/regression_abalone_current1.csv', NOW(), NULL, 'SUCCEEDED'); +('bedef394-59bb-4795-9f97-481f654cb118', 'b112781a-c1d9-48b7-a48f-80208b75d324', 's3://test-bucket/b112781a-c1d9-48b7-a48f-80208b75d324/current/bedef394-59bb-4795-9f97-481f654cb118/current1-income.csv', NOW(), NULL, 'SUCCEEDED'), +('47b4f52b-ae74-4b0c-a643-fa21ed70abfc', 'fc8f48b4-06f6-408d-b0cf-a1ead64fb82a', 's3://test-bucket/fc8f48b4-06f6-408d-b0cf-a1ead64fb82a/current/47b4f52b-ae74-4b0c-a643-fa21ed70abfc/3_classes_current1.csv', NOW(), NULL, 'SUCCEEDED'), +('e4762f05-3dd8-4193-a54e-d6ab14ece511', 'ec753890-6c5a-4a8b-8fc6-fe2de8c304dd', 's3://test-bucket/ec753890-6c5a-4a8b-8fc6-fe2de8c304dd/current/e4762f05-3dd8-4193-a54e-d6ab14ece511/regression_abalone_current1.csv', NOW(), NULL, 'SUCCEEDED'); -- Insert reference metrics INSERT INTO "reference_dataset_metrics" ("UUID", "REFERENCE_UUID", "MODEL_QUALITY", "DATA_QUALITY", "STATISTICS") VALUES -('f8abdb7a-f03d-4ee6-8139-c31f237f871e', 'db15546e-16a3-4482-8317-323d66dbe409', '{"f1": 0.8512557559815072, "recall": 0.6145404663923183, "accuracy": 0.8563333333333333, "log_loss": 2.4781894979586054, "f_measure": 0.6752072343632253, "precision": 0.7491638795986622, "area_under_pr": 0.7894282641864298, "area_under_roc": 0.9170999040203395, "weighted_recall": 0.8563333333333333, "true_positive_rate": 0.6145404663923183, "weighted_f_measure": 0.8512557559815072, "weighted_precision": 0.8504885379797771, "false_positive_rate": 0.06605019815059446, "true_negative_count": 2121, "true_positive_count": 448, "false_negative_count": 281, "false_positive_count": 150, "weighted_true_positive_rate": 0.8563333333333333, "weighted_false_positive_rate": 0.3078430650916095}', '{"class_metrics": [{"name": "0.0", "count": 2271, "percentage": 75.7}, {"name": "1.0", "count": 729, "percentage": 24.3}], "n_observations": 3000, "feature_metrics": [{"max": 90.0, "min": 17.0, "std": 13.864871598529266, "mean": 38.47266666666667, "type": "numerical", "histogram": {"buckets": [17.0, 24.3, 31.6, 38.9, 46.2, 53.5, 60.8, 68.1, 75.4, 82.7, 90.0], "current_values": null, "reference_values": [550, 512, 571, 563, 344, 230, 161, 37, 24, 8]}, "feature_name": "age", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 37.0, "perc_25": 28.0, "perc_75": 47.0}, "class_median_metrics": []}, {"max": 816750.0, "min": 19678.0, "std": 102461.4284653126, "mean": 190236.041, "type": "numerical", "histogram": {"buckets": [19678.0, 99385.2, 179092.4, 258799.59999999998, 338506.8, 418214.0, 497921.19999999995, 577628.4, 657335.6, 737042.7999999999, 816750.0], "current_values": null, "reference_values": [502, 982, 896, 356, 181, 44, 24, 10, 3, 2]}, "feature_name": "fnlwgt", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 179991.5, "perc_25": 119100.25, "perc_75": 240467.25}, "class_median_metrics": []}, {"max": 16.0, "min": 1.0, "std": 2.5735047391085297, "mean": 10.091, "type": "numerical", "histogram": {"buckets": [1.0, 2.5, 4.0, 5.5, 7.0, 8.5, 10.0, 11.5, 13.0, 14.5, 16.0], "current_values": null, "reference_values": [20, 26, 109, 83, 161, 961, 788, 112, 644, 96]}, "feature_name": "educational-num", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 10.0, "perc_25": 9.0, "perc_75": 12.0}, "class_median_metrics": []}, {"max": 99999.0, "min": 0.0, "std": 6266.35748559283, "mean": 910.7326666666667, "type": "numerical", "histogram": {"buckets": [0.0, 9999.9, 19999.8, 29999.699999999997, 39999.6, 49999.5, 59999.399999999994, 69999.3, 79999.2, 89999.09999999999, 99999.0], "current_values": null, "reference_values": [2932, 49, 8, 0, 1, 0, 0, 0, 0, 10]}, "feature_name": "capital-gain", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 0.0, "perc_25": 0.0, "perc_75": 0.0}, "class_median_metrics": []}, {"max": 4356.0, "min": 0.0, "std": 383.96126494781635, "mean": 79.848, "type": "numerical", "histogram": {"buckets": [0.0, 435.6, 871.2, 1306.8000000000002, 1742.4, 2178.0, 2613.6000000000004, 3049.2000000000003, 3484.8, 3920.4, 4356.0], "current_values": null, "reference_values": [2871, 2, 0, 46, 68, 12, 0, 0, 0, 1]}, "feature_name": "capital-loss", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 0.0, "perc_25": 0.0, "perc_75": 0.0}, "class_median_metrics": []}, {"max": 99.0, "min": 1.0, "std": 12.664133131731317, "mean": 40.074333333333335, "type": "numerical", "histogram": {"buckets": [1.0, 10.8, 20.6, 30.400000000000002, 40.2, 50.0, 59.800000000000004, 69.60000000000001, 79.4, 89.2, 99.0], "current_values": null, "reference_values": [72, 232, 223, 1612, 299, 340, 144, 41, 23, 14]}, "feature_name": "hours-per-week", "missing_value": {"count": 0, "percentage": 0.0}, "median_metrics": {"median": 40.0, "perc_25": 40.0, "perc_75": 45.0}, "class_median_metrics": []}, {"type": "categorical", "feature_name": "workclass", "missing_value": {"count": 177, "percentage": 5.8999999999999995}, "distinct_value": 7, "category_frequency": [{"name": "Self-emp-not-inc", "count": 220, "frequency": 0.07333333333333333}, {"name": "Local-gov", "count": 190, "frequency": 0.06333333333333334}, {"name": "State-gov", "count": 122, "frequency": 0.04066666666666666}, {"name": "Private", "count": 2102, "frequency": 0.7006666666666667}, {"name": "Without-pay", "count": 2, "frequency": 0.0006666666666666666}, {"name": "Federal-gov", "count": 94, "frequency": 0.03133333333333333}, {"name": "Self-emp-inc", "count": 93, "frequency": 0.031}]}, {"type": "categorical", "feature_name": "education", "missing_value": {"count": 0, "percentage": 0.0}, "distinct_value": 16, "category_frequency": [{"name": "Masters", "count": 153, "frequency": 0.051}, {"name": "10th", "count": 83, "frequency": 0.027666666666666666}, {"name": "5th-6th", "count": 26, "frequency": 0.008666666666666666}, {"name": "Assoc-acdm", "count": 112, "frequency": 0.037333333333333336}, {"name": "Assoc-voc", "count": 131, "frequency": 0.043666666666666666}, {"name": "7th-8th", "count": 64, "frequency": 0.021333333333333333}, {"name": "9th", "count": 45, "frequency": 0.015}, {"name": "HS-grad", "count": 961, "frequency": 0.32033333333333336}, {"name": "Bachelors", "count": 491, "frequency": 0.16366666666666665}, {"name": "11th", "count": 112, "frequency": 0.037333333333333336}, {"name": "1st-4th", "count": 12, "frequency": 0.004}, {"name": "Preschool", "count": 8, "frequency": 0.0026666666666666666}, {"name": "12th", "count": 49, "frequency": 0.01633333333333333}, {"name": "Doctorate", "count": 39, "frequency": 0.013}, {"name": "Some-college", "count": 657, "frequency": 0.219}, {"name": "Prof-school", "count": 57, "frequency": 0.019}]}, {"type": "categorical", "feature_name": "marital-status", "missing_value": {"count": 0, "percentage": 0.0}, "distinct_value": 7, "category_frequency": [{"name": "Separated", "count": 95, "frequency": 0.03166666666666667}, {"name": "Never-married", "count": 1045, "frequency": 0.34833333333333333}, {"name": "Married-spouse-absent", "count": 33, "frequency": 0.011}, {"name": "Divorced", "count": 384, "frequency": 0.128}, {"name": "Widowed", "count": 86, "frequency": 0.028666666666666667}, {"name": "Married-AF-spouse", "count": 2, "frequency": 0.0006666666666666666}, {"name": "Married-civ-spouse", "count": 1355, "frequency": 0.45166666666666666}]}, {"type": "categorical", "feature_name": "occupation", "missing_value": {"count": 177, "percentage": 5.8999999999999995}, "distinct_value": 14, "category_frequency": [{"name": "Sales", "count": 324, "frequency": 0.108}, 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