cbazza/Eurojackpot-Tipp-Generator
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Update draws, retrain models and generate tips through recent runs

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Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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cbazzaandClaude Sonnet 5 committed 2026-09-12 10:02:46 +02:00
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commit 74481f0a59
9 files changed
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data/AlleEurojackpotzahlen.csv
+8
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@@ -977,3 +977,11 @@ datum;Z1;Z2;Z3;Z4;Z5;SZ1;SZ2
2026-08-07;1;3;6;13;23;5;7
2026-08-11;4;11;12;16;30;8;9
2026-08-14;5;26;28;30;40;3;6
2026-08-18;15;22;24;34;42;4;7
2026-08-21;25;35;45;46;50;4;8
2026-08-25;4;5;7;48;50;4;5
2026-08-28;23;34;39;45;49;1;4
2026-09-01;9;14;35;43;50;3;7
2026-09-04;5;14;31;33;43;3;4
2026-09-08;14;27;34;36;47;3;4
2026-09-11;14;21;35;37;49;1;12
1 datum Z1 Z2 Z3 Z4 Z5 SZ1 SZ2
977 2026-08-07 1 3 6 13 23 5 7
978 2026-08-11 4 11 12 16 30 8 9
979 2026-08-14 5 26 28 30 40 3 6
980 2026-08-18 15 22 24 34 42 4 7
981 2026-08-21 25 35 45 46 50 4 8
982 2026-08-25 4 5 7 48 50 4 5
983 2026-08-28 23 34 39 45 49 1 4
984 2026-09-01 9 14 35 43 50 3 7
985 2026-09-04 5 14 31 33 43 3 4
986 2026-09-08 14 27 34 36 47 3 4
987 2026-09-11 14 21 35 37 49 1 12
data/eurojackpot_ml_models/deep_learning_euro/lstm_config_12.json
+6 -6
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@@ -1,9 +1,9 @@
{
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"trained_at": "2026-09-12T08:02:17.275957",
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"final_val_loss": 0.29478716743843897,
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}
data/eurojackpot_ml_models/deep_learning_euro/lstm_model_12.pth
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data/eurojackpot_ml_models/deep_learning_main/lstm_config_50.json
+6 -6
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@@ -1,9 +1,9 @@
{
"trained_at": "2026-08-15T08:00:31.632090",
"num_samples": 958,
"trained_at": "2026-09-12T08:02:11.413095",
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"num_features": 20,
"final_loss": 0.33297895764311153,
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"epochs_trained": 20
}
data/eurojackpot_ml_models/deep_learning_main/lstm_model_50.pth
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data/eurojackpot_ml_models/learning_state.json
+69 -69
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@@ -1,78 +1,78 @@
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data/eurojackpot_ml_models/trained_models_main.pkl
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data/generated_tips/generation_history.json
+49
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@@ -608,6 +608,55 @@
"file": "weekly_tips_20260817_211220.csv",
"avg_confidence": 0.4921752928949231,
"avg_quality": 0.5380050769543138
},
{
"timestamp": "2026-08-20T21:00:20.100037",
"num_tips": 10,
"file": "weekly_tips_20260820_210020.csv",
"avg_confidence": 0.5099301449799986,
"avg_quality": 0.5378746971461741
},
{
"timestamp": "2026-08-24T21:00:15.768894",
"num_tips": 10,
"file": "weekly_tips_20260824_210015.csv",
"avg_confidence": 0.49413475219196784,
"avg_quality": 0.5347895165697727
},
{
"timestamp": "2026-08-27T21:00:41.404378",
"num_tips": 10,
"file": "weekly_tips_20260827_210041.csv",
"avg_confidence": 0.46442091685285486,
"avg_quality": 0.5243829499225889
},
{
"timestamp": "2026-08-31T21:00:16.912280",
"num_tips": 10,
"file": "weekly_tips_20260831_210016.csv",
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},
{
"timestamp": "2026-09-03T21:00:19.262456",
"num_tips": 10,
"file": "weekly_tips_20260903_210019.csv",
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},
{
"timestamp": "2026-09-07T21:00:12.335630",
"num_tips": 10,
"file": "weekly_tips_20260907_210012.csv",
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},
{
"timestamp": "2026-09-10T21:00:12.857031",
"num_tips": 10,
"file": "weekly_tips_20260910_210012.csv",
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}
]
}
data/learning_log.json
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@@ -871,6 +871,110 @@
"main": 1.3,
"euro": 0.1
}
},
{
"timestamp": "2026-08-19T08:00:34.158116",
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"evaluation": {
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},
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}
},
{
"timestamp": "2026-08-22T08:00:48.954339",
"draw_date": "2026-08-21",
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},
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},
{
"timestamp": "2026-08-26T08:00:35.191070",
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{
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},
{
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{
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},
{
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{
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}
]
}