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Added SimilarityMethod to datapoint; Added euclidian distance, manhattan distance, pearson correlation; improved CosineSimilarity result using a remap

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This commit is contained in:
LD-Reborn
2025-08-23 21:34:48 +02:00
parent 631aafe68f
commit e74ed1f9ea
11 changed files with 143 additions and 18 deletions
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5
src/Server/Helper/DatabaseHelper.cs
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@@ -56,16 +56,17 @@ public static class DatabaseHelper
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO attribute (attribute, value, id_entity) VALUES (@attribute, @value, @id_entity)", parameters);
}
public static int DatabaseInsertDatapoint(SQLHelper helper, string name, string probmethod_embedding, string hash, int id_entity)
public static int DatabaseInsertDatapoint(SQLHelper helper, string name, string probmethod_embedding, string similarityMethod, string hash, int id_entity)
{
Dictionary<string, dynamic> parameters = new()
{
{ "name", name },
{ "probmethod_embedding", probmethod_embedding },
{ "similaritymethod", similarityMethod },
{ "hash", hash },
{ "id_entity", id_entity }
};
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO datapoint (name, probmethod_embedding, hash, id_entity) VALUES (@name, @probmethod_embedding, @hash, @id_entity)", parameters);
return helper.ExecuteSQLCommandGetInsertedID("INSERT INTO datapoint (name, probmethod_embedding, similaritymethod, hash, id_entity) VALUES (@name, @probmethod_embedding, @similaritymethod, @hash, @id_entity)", parameters);
}
public static int DatabaseInsertEmbedding(SQLHelper helper, int id_datapoint, string model, byte[] embedding)