SentimentAnalyzer
daany
SentimentAnalyzer | daany | |
---|---|---|
1 | 1 | |
10 | 56 | |
- | - | |
4.1 | 6.9 | |
over 2 years ago | 6 months ago | |
C# | C# | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SentimentAnalyzer
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Hacktoberfest for .NET Developers (C# Edition)
SentimentAnalyzer
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++; } }
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