104 lines
2.8 KiB
ObjectPascal
104 lines
2.8 KiB
ObjectPascal
/// Основной модуль библиотеки машинного обучения.
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/// Объединяет модели, метрики, валидацию и вспомогательные компоненты.
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unit MLABC;
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interface
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uses LinearAlgebraML;
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uses ValidationML;
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uses MLModelsABC;
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uses MetricsABC;
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uses PreprocessorABC;
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uses DataFrameABC;
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uses MLExceptions;
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type
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Vector = LinearAlgebraML.Vector;
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Matrix = LinearAlgebraML.Matrix;
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Validation = ValidationML.Validation;
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ConfusionMatrix = MetricsABC.ConfusionMatrix;
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Metrics = MetricsABC.Metrics;
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DataPipeline = PreprocessorABC.DataPipeline;
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DataStandardScaler = PreprocessorABC.DataStandardScaler;
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DataFrame = DataFrameABC.DataFrame;
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Statistics = DataFrameABC.Statistics;
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CsvLoader = DataFrameABC.CsvLoader;
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StandardScaler = MLModelsABC.StandardScaler;
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PCATransformer = MLModelsABC.PCATransformer;
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MinMaxScaler = MLModelsABC.MinMaxScaler;
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VarianceThreshold = MLModelsABC.VarianceThreshold;
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SelectKBest = MLModelsABC.SelectKBest;
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FeatureScore = MLModelsABC.FeatureScore;
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Normalizer = MLModelsABC.Normalizer;
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NormType = MLModelsABC.NormType;
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Activations = MLModelsABC.Activations;
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Pipeline = MLModelsABC.Pipeline;
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LinearRegression = MLModelsABC.LinearRegression;
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LogisticRegression = MLModelsABC.LogisticRegression;
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RidgeRegression = MLModelsABC.RidgeRegression;
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ElasticNet = MLModelsABC.ElasticNet;
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MulticlassLogisticRegression = MLModelsABC.MulticlassLogisticRegression;
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MLException = MLExceptions.MLException;
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MLArgumentException = MLExceptions.MLArgumentException;
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MLNotFittedException = MLExceptions.MLNotFittedException;
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MLDimensionException = MLExceptions.MLDimensionException;
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implementation
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function ToMatrix(Self: DataFrame; colNames: array of string): Matrix; extensionmethod;
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begin
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var df := Self;
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var n := df.RowCount;
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var p := colNames.Length;
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if p = 0 then
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raise new Exception('ToMatrix: no columns specified');
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Result := new Matrix(n, p);
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for var j := 0 to p - 1 do
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begin
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var col := df[colNames[j]];
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for var i := 0 to n - 1 do
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begin
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var value: real;
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if not col.TryGetNumericValue(i, value) then
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raise new Exception(
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'ToMatrix: column "' + colNames[j] +
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'" contains non-numeric or NA values');
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Result[i,j] := value;
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end;
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end;
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end;
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function ToVector(Self: DataFrame; colName: string): Vector; extensionmethod;
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begin
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var df := Self;
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var n := df.RowCount;
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Result := new Vector(n);
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var col := df[colName];
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for var i := 0 to n - 1 do
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begin
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var value: real;
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if not col.TryGetNumericValue(i, value) then
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raise new Exception(
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'ToVector: column "' + colName +
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'" contains non-numeric or NA values');
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Result[i] := value;
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end;
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end;
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end. |