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-rw-r--r--backend/api/api/Models/ColumnInfo.cs4
-rw-r--r--backend/api/api/Models/Experiment.cs2
-rw-r--r--backend/api/api/Services/FillAnEmptyDb.cs66
3 files changed, 37 insertions, 35 deletions
diff --git a/backend/api/api/Models/ColumnInfo.cs b/backend/api/api/Models/ColumnInfo.cs
index dcf5171c..46aeadb6 100644
--- a/backend/api/api/Models/ColumnInfo.cs
+++ b/backend/api/api/Models/ColumnInfo.cs
@@ -4,10 +4,9 @@
{
public ColumnInfo() { }
- public ColumnInfo(string columnName, string columnType, bool isNumber, int numNulls, float mean, float min, float max, float median, string[] uniqueValues, int[]uniqueValuesCount, float[] uniqueValuesPercent, float q1, float q3)
+ public ColumnInfo(string columnName, bool isNumber, int numNulls, float mean, float min, float max, float median, string[] uniqueValues, int[]uniqueValuesCount, float[] uniqueValuesPercent, float q1, float q3)
{
this.columnName = columnName;
- this.columnType = columnType;
this.isNumber = isNumber;
this.numNulls = numNulls;
this.mean = mean;
@@ -22,7 +21,6 @@
}
public string columnName { get; set; }
- public string columnType { get; set; }
public bool isNumber { get; set; }
public int numNulls { get; set; }
public float mean { get; set; }
diff --git a/backend/api/api/Models/Experiment.cs b/backend/api/api/Models/Experiment.cs
index 3af063be..d98e6cfc 100644
--- a/backend/api/api/Models/Experiment.cs
+++ b/backend/api/api/Models/Experiment.cs
@@ -21,6 +21,6 @@ namespace api.Models
public DateTime lastUpdated { get; set; }
public NullValues[] nullValuesReplacers { get; set; }
public ColumnEncoding[] encodings { get; set; }
-
+ public string[] columnTypes { get; set; }
}
}
diff --git a/backend/api/api/Services/FillAnEmptyDb.cs b/backend/api/api/Services/FillAnEmptyDb.cs
index d8c53bab..520f3461 100644
--- a/backend/api/api/Services/FillAnEmptyDb.cs
+++ b/backend/api/api/Services/FillAnEmptyDb.cs
@@ -66,18 +66,18 @@ namespace api.Services
dataset.columnInfo = new[]
{
- new ColumnInfo( "PassengerId", "columnType", true, 0, 446, 1, 891, 446, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Survived", "columnType", true, 0, 0.38383838534355164f, 0, 1, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Pclass", "columnType", true, 0, 2.3086419105529785f, 1, 3, 3, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Name", "columnType", false, 0, 0, 0, 0, 0, new string[]{"Braund, Mr. Owen Harris", "Boulos, Mr. Hanna", "Frolicher-Stehli, Mr. Maxmillian", "Gilinski, Mr. Eliezer", "Murdlin, Mr. Joseph", "Rintamaki, Mr. Matti", "Stephenson, Mrs. Walter Bertram (Martha Eustis)", "Elsbury, Mr. William James", "Bourke, Miss. Mary", "Chapman, Mr. John Henry"}, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Sex", "columnType", false, 0, 0, 0, 0, 0, new string[]{ "male", "female" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Age", "columnType", true, 177, 29.69911766052246f, 0.41999998688697815f, 80, 28, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "SibSp", "columnType", true, 0, 0.523007869720459f, 0, 8, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Parch", "columnType", true, 0, 0.3815937042236328f, 0, 6, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Ticket", "columnType", false, 0, 0, 0, 0, 0, new string[]{ "347082", "CA. 2343", "1601", "3101295", "CA 2144", "347088", "S.O.C. 14879", "382652", "LINE", "PC 17757" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Fare", "columnType", true, 0, 32.20420837402344f, 0, 512.3292236328125f, 14.45419979095459f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Cabin", "columnType", false, 687, 0, 0, 0, 0, new string[]{ "B96 B98", "G6", "C23 C25 C27", "C22 C26", "F33", "F2", "E101", "D", "C78", "C93" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "Embarked", "columnType", false, 2, 0.3815937042236328f, 0, 6, 0, new string[]{ "S", "C", "Q" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "PassengerId", true, 0, 446, 1, 891, 446, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Survived", true, 0, 0.38383838534355164f, 0, 1, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Pclass", true, 0, 2.3086419105529785f, 1, 3, 3, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Name", false, 0, 0, 0, 0, 0, new string[]{"Braund, Mr. Owen Harris", "Boulos, Mr. Hanna", "Frolicher-Stehli, Mr. Maxmillian", "Gilinski, Mr. Eliezer", "Murdlin, Mr. Joseph", "Rintamaki, Mr. Matti", "Stephenson, Mrs. Walter Bertram (Martha Eustis)", "Elsbury, Mr. William James", "Bourke, Miss. Mary", "Chapman, Mr. John Henry"}, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Sex", false, 0, 0, 0, 0, 0, new string[]{ "male", "female" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Age", true, 177, 29.69911766052246f, 0.41999998688697815f, 80, 28, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "SibSp", true, 0, 0.523007869720459f, 0, 8, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Parch", true, 0, 0.3815937042236328f, 0, 6, 0, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Ticket", false, 0, 0, 0, 0, 0, new string[]{ "347082", "CA. 2343", "1601", "3101295", "CA 2144", "347088", "S.O.C. 14879", "382652", "LINE", "PC 17757" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Fare", true, 0, 32.20420837402344f, 0, 512.3292236328125f, 14.45419979095459f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Cabin", false, 687, 0, 0, 0, 0, new string[]{ "B96 B98", "G6", "C23 C25 C27", "C22 C26", "F33", "F2", "E101", "D", "C78", "C93" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "Embarked", false, 2, 0.3815937042236328f, 0, 6, 0, new string[]{ "S", "C", "Q" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
};
dataset.rowCount = 891;
dataset.nullCols = 3;
@@ -118,7 +118,7 @@ namespace api.Services
experiment.ModelIds = new string[] { }.ToList();
experiment.datasetId = _datasetService.GetDatasetId(dataset.fileId);
experiment.uploaderId = "000000000000000000000000";
- experiment.inputColumns = new string[] { "Embarked" };
+ experiment.inputColumns = new string[] { "Embarked", "Survived" };
experiment.outputColumn = "Survived";
experiment.dateCreated = DateTime.Now;
experiment.lastUpdated = DateTime.Now;
@@ -129,6 +129,7 @@ namespace api.Services
new ColumnEncoding( "Survived", "label" ),
new ColumnEncoding("Embarked", "label" )
};
+ experiment.columnTypes = new string[] {"categorical"};
_experimentService.Create(experiment);
@@ -179,17 +180,17 @@ namespace api.Services
dataset.delimiter = "";
dataset.columnInfo = new[]
{
- new ColumnInfo( "Unnamed: 0", "columnType", true, 0, 26969.5f, 0, 53939, 26969.5f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "carat", "columnType", true, 0, 0.7979397773742676f, 0.20000000298023224f, 5.010000228881836f, 0.699999988079071f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "cut", "columnType", false, 0, 0, 0, 0, 0, new string[]{ "Ideal", "Premium", "Very Good", "Good", "Fair" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "color", "columnType", false, 0, 0, 0, 0, 0, new string[]{"G", "E", "F", "H", "D", "I", "I", "J"}, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "clarity", "columnType", false, 0, 0, 0, 0, 0, new string[]{ "SI1", "VS2","SI2", "VS1", "VVS2", "VVS1", "IF", "I1" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "depth", "columnType", true, 0, 61.74940490722656f, 43, 79, 61.79999923706055f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "table", "columnType", true, 0, 57.457183837890625f, 43, 95, 57, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "price", "columnType", true, 0, 3932.7998046875f, 326, 18823, 2401, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "x", "columnType", true, 0, 5.731157302856445f, 0, 10.739999771118164f, 5.699999809265137f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "y", "columnType", true, 0, 5.73452615737915f, 0, 58.900001525878906f, 5.710000038146973f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "z", "columnType", true, 0, 3.538733720779419f, 0, 31.799999237060547f, 3.5299999713897705f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f )
+ new ColumnInfo( "Unnamed: 0", true, 0, 26969.5f, 0, 53939, 26969.5f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "carat", true, 0, 0.7979397773742676f, 0.20000000298023224f, 5.010000228881836f, 0.699999988079071f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "cut", false, 0, 0, 0, 0, 0, new string[]{ "Ideal", "Premium", "Very Good", "Good", "Fair" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "color", false, 0, 0, 0, 0, 0, new string[]{"G", "E", "F", "H", "D", "I", "I", "J"}, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "clarity", false, 0, 0, 0, 0, 0, new string[]{ "SI1", "VS2","SI2", "VS1", "VVS2", "VVS1", "IF", "I1" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "depth", true, 0, 61.74940490722656f, 43, 79, 61.79999923706055f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "table", true, 0, 57.457183837890625f, 43, 95, 57, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "price", true, 0, 3932.7998046875f, 326, 18823, 2401, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "x", true, 0, 5.731157302856445f, 0, 10.739999771118164f, 5.699999809265137f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "y", true, 0, 5.73452615737915f, 0, 58.900001525878906f, 5.710000038146973f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "z", true, 0, 3.538733720779419f, 0, 31.799999237060547f, 3.5299999713897705f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f )
};
dataset.rowCount = 53940;
dataset.nullCols = 0;
@@ -231,7 +232,7 @@ namespace api.Services
experiment.ModelIds = new string[] { }.ToList();
experiment.datasetId = _datasetService.GetDatasetId(dataset.fileId);
experiment.uploaderId = "000000000000000000000000";
- experiment.inputColumns = new string[] { "Unnamed: 0", "carat", "cut", "color", "clarity", "depth", "table", "x", "y", "z" };
+ experiment.inputColumns = new string[] { "Unnamed: 0", "carat", "cut", "color", "clarity", "depth", "table", "x", "y", "z", "price" };
experiment.outputColumn = "price";
experiment.dateCreated = DateTime.Now;
experiment.lastUpdated = DateTime.Now;
@@ -251,6 +252,7 @@ namespace api.Services
new ColumnEncoding( "y", "label" ),
new ColumnEncoding( "z", "label" )
};
+ experiment.columnTypes = new string[] { "categorical", "numerical", "numerical", "categorical", "categorical", "categorical", "numerical", "numerical", "numerical", "numerical", "numerical" };
_experimentService.Create(experiment);
/*
@@ -295,11 +297,11 @@ namespace api.Services
dataset.delimiter = "";
dataset.columnInfo = new[]
{
- new ColumnInfo( "sepal_length", "columnType", true, 0, 5.8433332443237305f, 4.300000190734863f, 7.900000095367432f, 5.800000190734863f, new string[]{ }, new int[] {}, new float[] {}, 0.01f, 0.1f ),
- new ColumnInfo( "sepal_width", "columnType", true, 0, 3.053999900817871f, 2, 4.400000095367432f, 3, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "petal_length", "columnType", true, 0, 3.758666753768921f, 1, 6.900000095367432f, 4.349999904632568f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "petal_width", "columnType", true, 0, 1.1986666917800903f, 0.10000000149011612f, 2.5f, 1.2999999523162842f, new string[]{}, new int[] {}, new float[] {}, 0.01f,0.1f ),
- new ColumnInfo( "class", "columnType", false, 0, 0, 0, 0, 0, new string[]{ "Iris-setosa", "Iris-versicolor", "Iris-virginica" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "sepal_length", true, 0, 5.8433332443237305f, 4.300000190734863f, 7.900000095367432f, 5.800000190734863f, new string[]{ }, new int[] {}, new float[] {}, 0.01f, 0.1f ),
+ new ColumnInfo( "sepal_width", true, 0, 3.053999900817871f, 2, 4.400000095367432f, 3, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "petal_length", true, 0, 3.758666753768921f, 1, 6.900000095367432f, 4.349999904632568f, new string[]{ }, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "petal_width", true, 0, 1.1986666917800903f, 0.10000000149011612f, 2.5f, 1.2999999523162842f, new string[]{}, new int[] {}, new float[] {}, 0.01f,0.1f ),
+ new ColumnInfo( "class", false, 0, 0, 0, 0, 0, new string[]{ "Iris-setosa", "Iris-versicolor", "Iris-virginica" }, new int[] {}, new float[] {}, 0.01f,0.1f ),
};
dataset.nullCols = 150;
dataset.nullRows = 0;
@@ -339,7 +341,7 @@ namespace api.Services
experiment.ModelIds = new string[] { }.ToList();
experiment.datasetId = _datasetService.GetDatasetId(dataset.fileId);
experiment.uploaderId = "000000000000000000000000";
- experiment.inputColumns = new string[] { "sepal_length", "sepal_width", "petal_length", "petal_width" };
+ experiment.inputColumns = new string[] { "sepal_length", "sepal_width", "petal_length", "petal_width", "class" };
experiment.outputColumn = "class";
experiment.dateCreated = DateTime.Now;
experiment.lastUpdated = DateTime.Now;
@@ -353,6 +355,8 @@ namespace api.Services
new ColumnEncoding( "petal_width", "label" ),
new ColumnEncoding( "class", "label" )
};
+ experiment.columnTypes = new string[] { "categorical", "numerical", "numerical", "numerical", "categorical" };
+
_experimentService.Create(experiment);
/*
generated by cgit v1.2.3 (git 2.39.1) at 2025-04-19 20:09:05 +0000