Merged PR 5170: removed ML.NET files as they are now in ML.NET itself
removed ML.NET files as they are now in ML.NET itself
This commit is contained in:
Michael Sharp
Родитель
f1a713d9df
Коммит
e4649ef6a2
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@ -1,351 +0,0 @@
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// --------------------------------------------------------------------------------
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// |
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// | WARNING:
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// | This file was generated; any local changes will be overwritten during
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// | future invocations of the generator!
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// |
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// | Generated by: Plugins/MlNetPluginImpl/CreateCsFile.py
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// | Generated on: 2019-07-24 13:29:27.151329
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// |
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// --------------------------------------------------------------------------------
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using Microsoft.ML.Data;
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using Microsoft.ML.Runtime;
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using Microsoft.Win32.SafeHandles;
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using System;
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using System.Linq;
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using System.Runtime.InteropServices;
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using System.Security;
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namespace Microsoft.ML.Autogen
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{
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public static class DateTimeTransformerExtensionClass
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{
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public class TransformParameter<T>
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{
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private readonly T _rawValue;
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public readonly DataViewSchema.Column? Column;
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public T GetValue(DataViewRow row)
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{
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if (Column.HasValue)
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{
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var column = row.Schema[Column.Value.Name];
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var getter = row.GetGetter<T>(column);
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T value = default;
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getter(ref value);
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return value;
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}
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else
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{
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return _rawValue;
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}
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}
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public TransformParameter(T value)
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{
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_rawValue = value;
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Column = null;
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}
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public TransformParameter(DataViewSchema.Column column)
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{
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_rawValue = default;
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Column = column;
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}
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}
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public static DateTimeTransformerEstimator DateTimeTransformer(this TransformsCatalog catalog, DateTime dateTime, string columnPrefix)
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=> DateTimeTransformerEstimator.Create(CatalogUtils.GetEnvironment(catalog), dateTime, columnPrefix);
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public static DateTimeTransformerEstimator DateTimeTransformer(this TransformsCatalog catalog, DataViewSchema.Column dateTime, string columnPrefix)
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=> DateTimeTransformerEstimator.Create(CatalogUtils.GetEnvironment(catalog), dateTime, columnPrefix);
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}
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public sealed class DateTimeTransformerEstimator : IEstimator<DateTimeTransformer>
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{
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private DateTimeTransformerExtensionClass.TransformParameter<DateTime> _dateTime = default;
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private string _columnPrefix = default;
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private readonly IHost _host;
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private static Type GetParameterType(object obj)
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{
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if (obj.GetType() == typeof(DataViewSchema.Column))
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{
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return ((DataViewSchema.Column)obj).Type.RawType;
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}
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else
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{
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return obj.GetType();
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}
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}
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private static Type GetParameterClassType(object obj)
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{
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var type = GetParameterType(obj);
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return typeof(DateTimeTransformerExtensionClass.TransformParameter<>).MakeGenericType(type);
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}
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public static DateTimeTransformerEstimator Create(IHostEnvironment env, object dateTime, string columnPrefix)
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{
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var dateTimeParam = new object[] { dateTime };
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var dateTimeType = GetParameterClassType(dateTime);
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var dateTimeInstance = Activator.CreateInstance(dateTimeType, dateTimeParam);
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var param = new object[] { env, dateTimeInstance, columnPrefix };
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var estimator = Activator.CreateInstance(typeof(DateTimeTransformerEstimator), param);
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return (DateTimeTransformerEstimator)estimator;
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}
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public DateTimeTransformerEstimator(IHostEnvironment env, DateTimeTransformerExtensionClass.TransformParameter<DateTime> dateTime, string columnPrefix)
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{
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_dateTime = dateTime;
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_columnPrefix = columnPrefix;
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_host = env.Register(nameof(DateTimeTransformerEstimator));
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}
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public DateTimeTransformer Fit(IDataView input)
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{
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return new DateTimeTransformer(_host, _dateTime, _columnPrefix);
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}
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public SchemaShape GetOutputSchema(SchemaShape inputSchema)
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{
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var columns = inputSchema.ToDictionary(x => x.Name);
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// this code returns each member of the struct as its own column
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columns[_columnPrefix + "_year"] = new SchemaShape.Column(_columnPrefix + "_year", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(int)), false, null);
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columns[_columnPrefix + "_month"] = new SchemaShape.Column(_columnPrefix + "_month", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_day"] = new SchemaShape.Column(_columnPrefix + "_day", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_hour"] = new SchemaShape.Column(_columnPrefix + "_hour", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_minute"] = new SchemaShape.Column(_columnPrefix + "_minute", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_second"] = new SchemaShape.Column(_columnPrefix + "_second", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_dayOfWeek"] = new SchemaShape.Column(_columnPrefix + "_dayOfWeek", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_dayOfYear"] = new SchemaShape.Column(_columnPrefix + "_dayOfYear", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(ushort)), false, null);
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columns[_columnPrefix + "_quarterOfYear"] = new SchemaShape.Column(_columnPrefix + "_quarterOfYear", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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columns[_columnPrefix + "_weekOfMonth"] = new SchemaShape.Column(_columnPrefix + "_weekOfMonth", SchemaShape.Column.VectorKind.Scalar,
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)), false, null);
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return new SchemaShape(columns.Values);
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}
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}
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public class DateTimeTransformer : RowToRowTransformerBase
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{
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private DateTimeTransformerExtensionClass.TransformParameter<DateTime> _dateTime = default;
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private string _columnPrefix = default;
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public DateTimeTransformer(IHost host, DateTimeTransformerExtensionClass.TransformParameter<DateTime> dateTime, string columnPrefix) :
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base(host.Register(nameof(DateTimeTransformer)))
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{
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_dateTime = dateTime;
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_columnPrefix = columnPrefix;
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}
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protected sealed class Mapper : MapperBase, IDisposable
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{
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private readonly DateTimeTransformer _parent;
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private TransformerSafeHandler _cppTransformer;
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// Unix time starts in the year 1970, so this is to allow for easier time conversions between datetime and unix time.
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private readonly DateTime _cppStartDate;
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private long _position;
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private TimePoint _currentData;
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[DllImport("DateTimeTransformer.dll", EntryPoint = "CreateDateTimeTransformProxy"), SuppressUnmanagedCodeSecurity]
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extern static bool CreateDateTimeTransformProxy(long dateTime, TransformerSafeHandler transformer, out IntPtr timePoint);
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[DllImport("DateTimeTransformer.dll", EntryPoint = "DeleteDateTimeTransformProxy"), SuppressUnmanagedCodeSecurity]
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extern static bool DeleteDateTimeTransformProxy(IntPtr timePoint);
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[DllImport("DateTimeTransformer.dll", EntryPoint = "CreateDateTimeTransformer"), SuppressUnmanagedCodeSecurity]
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extern static IntPtr CreateCppTransformer();
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[DllImport("DateTimeTransformer.dll", EntryPoint = "DeleteDateTimeTransformer"), SuppressUnmanagedCodeSecurity]
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extern static bool DeleteCppTransformer(IntPtr transformer);
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public Mapper(DateTimeTransformer parent, DataViewSchema inputSchema) :
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base(parent.Host.Register(nameof(Mapper)), inputSchema, parent)
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{
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_parent = parent;
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_cppTransformer = new TransformerSafeHandler(CreateCppTransformer());
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_cppStartDate = new DateTime(1970, 1, 1);
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_position = -1;
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}
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[StructLayoutAttribute(LayoutKind.Sequential)]
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private struct TimePoint
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{
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public int year;
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public byte month;
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public byte day;
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public byte hour;
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public byte minute;
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public byte second;
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public byte dayOfWeek;
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public ushort dayOfYear;
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public byte quarterOfYear;
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public byte weekOfMonth;
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};
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internal class TransformerSafeHandler : SafeHandleZeroOrMinusOneIsInvalid
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{
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public TransformerSafeHandler(IntPtr handle) : base(true)
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{
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SetHandle(handle);
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}
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protected override bool ReleaseHandle()
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{
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DeleteCppTransformer(handle);
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return true;
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}
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}
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internal class TimePointSafehandler : SafeHandleZeroOrMinusOneIsInvalid
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{
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public TimePointSafehandler(IntPtr handle) : base(true)
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{
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SetHandle(handle);
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}
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protected override bool ReleaseHandle()
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{
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DeleteDateTimeTransformProxy(handle);
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return true;
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}
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}
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public void Dispose()
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{
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_cppTransformer.Dispose();
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}
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protected override DataViewSchema.DetachedColumn[] GetOutputColumnsCore()
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{
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var year = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_year",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(int)));
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var month = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_month",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var day = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_day",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var hour = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_hour",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var minute = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_minute",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var second = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_second",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var dayOfWeek = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_dayOfWeek",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var dayOfYear = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_dayOfYear",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(ushort)));
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var quarterOfYear = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_quarterOfYear",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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var weekOfMonth = new DataViewSchema.DetachedColumn(_parent._columnPrefix + "_weekOfMonth",
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ColumnTypeExtensions.PrimitiveTypeFromType(typeof(byte)));
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return new DataViewSchema.DetachedColumn[] { year, month, day, hour, minute, second, dayOfWeek, dayOfYear, quarterOfYear, weekOfMonth };
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}
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private Delegate MakeGetter<T>(DataViewRow input, int iinfo)
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{
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ValueGetter<T> result = (ref T dst) =>
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{
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if (_position != input.Position)
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{
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var dateTime = _parent._dateTime.GetValue(input);
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var success = CreateDateTimeTransformProxy(dateTime.Ticks - _cppStartDate.Ticks, _cppTransformer, out IntPtr timePoint);
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using (var timePointSafeHandler = new TimePointSafehandler(timePoint))
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{
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_currentData = Marshal.PtrToStructure<TimePoint>(timePoint);
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}
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_position = input.Position;
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}
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if (iinfo == 0)
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dst = (T)Convert.ChangeType(_currentData.year, typeof(T));
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else if (iinfo == 1)
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dst = (T)Convert.ChangeType(_currentData.month, typeof(T));
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else if (iinfo == 2)
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dst = (T)Convert.ChangeType(_currentData.day, typeof(T));
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else if (iinfo == 3)
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dst = (T)Convert.ChangeType(_currentData.hour, typeof(T));
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else if (iinfo == 4)
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dst = (T)Convert.ChangeType(_currentData.minute, typeof(T));
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else if (iinfo == 5)
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dst = (T)Convert.ChangeType(_currentData.second, typeof(T));
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else if (iinfo == 6)
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dst = (T)Convert.ChangeType(_currentData.dayOfWeek, typeof(T));
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else if (iinfo == 7)
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dst = (T)Convert.ChangeType(_currentData.dayOfYear, typeof(T));
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else if (iinfo == 8)
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dst = (T)Convert.ChangeType(_currentData.quarterOfYear, typeof(T));
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else
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dst = (T)Convert.ChangeType(_currentData.weekOfMonth, typeof(T));
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};
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return result;
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}
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protected override Delegate MakeGetter(DataViewRow input, int iinfo, Func<int, bool> activeOutput, out Action disposer)
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{
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disposer = null;
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if (iinfo == 0) // Year
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return MakeGetter<int>(input, iinfo);
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else if (iinfo == 7)
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return MakeGetter<ushort>(input, iinfo);
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else
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return MakeGetter<byte>(input, iinfo);
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}
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protected override Func<int, bool> GetDependenciesCore(Func<int, bool> activeOutput)
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{
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var active = new bool[InputSchema.Count];
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for (int i = 0; i < InputSchema.Count; i++)
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{
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if (_parent._dateTime.Column.HasValue && InputSchema[i].Name.Equals(_parent._dateTime.Column.Value.Name))
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{
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active[i] = true;
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}
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}
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return col => active[col];
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}
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protected override void SaveModel(ModelSaveContext ctx)
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{
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throw new NotImplementedException();
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}
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}
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protected override IRowMapper MakeRowMapper(DataViewSchema schema) => new Mapper(this, schema);
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protected override void SaveModel(ModelSaveContext ctx)
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{
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throw new NotImplementedException();
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}
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}
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}
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@ -1,131 +0,0 @@
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using Microsoft.ML.Data;
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using System;
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using System.IO;
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using Xunit;
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namespace Microsoft.ML.Autogen
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{
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public class DateTimeFeaturizerTests
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{
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[Fact]
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public void CorrectNumberOfColumns()
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{
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MLContext mlContext = new MLContext(1);
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var path = Path.Combine(Environment.CurrentDirectory, "TestData", "dates.txt");
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var loader = mlContext.Data.CreateTextLoader(
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new[] {
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new TextLoader.Column("date", DataKind.DateTime, 0)
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||||
}
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);
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IDataView data = loader.Load(path);
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// Build the pipeline, fit, and transform it.
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var dateColumn = data.Schema["date"];
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var columnPrefix = "DTC";
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var pipeline = mlContext.Transforms.DateTimeTransformer(dateColumn, columnPrefix);
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var model = pipeline.Fit(data);
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var output = model.Transform(data);
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||||
var schema = output.Schema;
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|
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// Check the schema has 11 columns
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Assert.Equal(11, schema.Count);
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||||
// Make sure names with prefix and order are correct
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||||
Assert.Equal($"{columnPrefix}_year", schema[1].Name);
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||||
Assert.Equal($"{columnPrefix}_month", schema[2].Name);
|
||||
Assert.Equal($"{columnPrefix}_day", schema[3].Name);
|
||||
Assert.Equal($"{columnPrefix}_hour", schema[4].Name);
|
||||
Assert.Equal($"{columnPrefix}_minute", schema[5].Name);
|
||||
Assert.Equal($"{columnPrefix}_second", schema[6].Name);
|
||||
Assert.Equal($"{columnPrefix}_dayOfWeek", schema[7].Name);
|
||||
Assert.Equal($"{columnPrefix}_dayOfYear", schema[8].Name);
|
||||
Assert.Equal($"{columnPrefix}_quarterOfYear", schema[9].Name);
|
||||
Assert.Equal($"{columnPrefix}_weekOfMonth", schema[10].Name);
|
||||
|
||||
// Make sure types are correct
|
||||
Assert.Equal(typeof(int), schema[1].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[2].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[3].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[4].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[5].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[6].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[7].Type.RawType);
|
||||
Assert.Equal(typeof(ushort), schema[8].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[9].Type.RawType);
|
||||
Assert.Equal(typeof(byte), schema[10].Type.RawType);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void CanUseDateFromColumn()
|
||||
{
|
||||
MLContext mlContext = new MLContext(1);
|
||||
var path = Path.Combine(Environment.CurrentDirectory, "TestData", "dates.txt");
|
||||
|
||||
var loader = mlContext.Data.CreateTextLoader(
|
||||
new[] {
|
||||
new TextLoader.Column("date", DataKind.DateTime, 0)
|
||||
}
|
||||
);
|
||||
IDataView data = loader.Load(path);
|
||||
|
||||
// Build the pipeline, fit, and transform it.
|
||||
var dateColumn = data.Schema["date"];
|
||||
var pipeline = mlContext.Transforms.DateTimeTransformer(dateColumn, "DTC");
|
||||
var model = pipeline.Fit(data);
|
||||
var output = model.Transform(data);
|
||||
|
||||
// Get the data from the first row and make sure it matches expected
|
||||
var row = output.Preview(1).RowView[0].Values;
|
||||
|
||||
// Assert the data from the first row is what we expect
|
||||
Assert.Equal(2019, row[1].Value);
|
||||
Assert.Equal((byte)6, row[2].Value);
|
||||
Assert.Equal((byte)29, row[3].Value);
|
||||
Assert.Equal((byte)0, row[4].Value);
|
||||
Assert.Equal((byte)1, row[5].Value);
|
||||
Assert.Equal((byte)0, row[6].Value);
|
||||
Assert.Equal((byte)6, row[7].Value);
|
||||
Assert.Equal((ushort)179, row[8].Value);
|
||||
Assert.Equal((byte)2, row[9].Value);
|
||||
Assert.Equal((byte)4, row[10].Value);
|
||||
}
|
||||
|
||||
[Fact]
|
||||
public void CanUseRawDate()
|
||||
{
|
||||
MLContext mlContext = new MLContext(1);
|
||||
var path = Path.Combine(Environment.CurrentDirectory, "TestData", "dates.txt");
|
||||
|
||||
var loader = mlContext.Data.CreateTextLoader(
|
||||
new[] {
|
||||
new TextLoader.Column("date", DataKind.DateTime, 0)
|
||||
}
|
||||
);
|
||||
IDataView data = loader.Load(path);
|
||||
|
||||
// Build the pipeline, fit, and transform it.
|
||||
var date = DateTime.Parse("2019-06-29 12:01:00 AM");
|
||||
var pipeline = mlContext.Transforms.DateTimeTransformer(date, "DTC");
|
||||
var model = pipeline.Fit(data);
|
||||
var output = model.Transform(data);
|
||||
|
||||
// Get the data from the first row and make sure it matches expected
|
||||
var row = output.Preview(1).RowView[0].Values;
|
||||
|
||||
// Assert the data from the first row is what we expect
|
||||
Assert.Equal(2019, row[1].Value);
|
||||
Assert.Equal((byte)6, row[2].Value);
|
||||
Assert.Equal((byte)29, row[3].Value);
|
||||
Assert.Equal((byte)0, row[4].Value);
|
||||
Assert.Equal((byte)1, row[5].Value);
|
||||
Assert.Equal((byte)0, row[6].Value);
|
||||
Assert.Equal((byte)6, row[7].Value);
|
||||
Assert.Equal((ushort)179, row[8].Value);
|
||||
Assert.Equal((byte)2, row[9].Value);
|
||||
Assert.Equal((byte)4, row[10].Value);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
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Ссылка в новой задаче