daany
tech-sessions
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daany | tech-sessions | |
---|---|---|
1 | 1 | |
54 | 4 | |
- | - | |
6.9 | 0.0 | |
6 months ago | over 1 year ago | |
C# | Jupyter Notebook | |
MIT License | - |
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daany
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Cricket Analysis and Prediction using ML.Net(C#)
/// /// Adds a total_score column to the DataFrame by calculating the cumulative sum /// /// DataFrame to which new column is added public void AddTotalScorePerBallDaany(Daany.DataFrame df) { // https://github.com/bhrnjica/daany // calculate total_score per ball df.AddCalculatedColumn(CSV_COLUMN_TOTAL_SCORE, (r, i) => { var response = Convert.ToSingle(r[CSV_COLUMN_SCORE]); return 0; }); int previousMatchId = -1; int previousInning = -1; float previousScore = -1; int rowIndex = 0; foreach (var dfRow in df.GetRowEnumerator()) { var matchId = (int)dfRow[0]; var inning = (int)dfRow[4]; var score = Convert.ToSingle(dfRow[df.Columns.Count - 2]); // Score if (previousMatchId == -1) // First time { // Reset previousMatchId = matchId; previousInning = inning; if (previousScore == -1) { previousScore = score; } } if (matchId == previousMatchId && inning == previousInning) { float newScore = previousScore + score; // Total Score dfRow[df.Columns.Count - 1] = newScore; df[rowIndex, df.Columns.Count - 1] = newScore; previousScore = newScore; } else { // Total Score dfRow[df.Columns.Count - 1] = score; df[rowIndex, df.Columns.Count - 1] = score; // Reset previousMatchId = -1; previousInning = -1; previousScore = score; } rowIndex++; } }
tech-sessions
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Cricket Analysis and Prediction using ML.Net(C#)
Notebook: https://github.com/praveenraghuvanshi/tech-sessions/blob/master/08022022-Developer-Week-2022/CricketAnalysis.ipynb
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