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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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199 changes: 100 additions & 99 deletions src/Microsoft.ML.Data/EntryPoints/InputBuilder.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@
using System.Reflection;
using Microsoft.ML.Runtime.CommandLine;
using Microsoft.ML.Runtime.Internal.Utilities;
using Microsoft.ML.Runtime.Data;
using Newtonsoft.Json.Linq;

namespace Microsoft.ML.Runtime.EntryPoints.JsonUtils
Expand DownExpand Up@@ -425,81 +426,81 @@ private static object ParseJsonValue(IExceptionContext ectx, Type type, Attribut
{
switch (dt)
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
case TlcModule.DataKind.Bool:
return value.Value<bool>();
case TlcModule.DataKind.String:
return value.Value<string>();
case TlcModule.DataKind.Char:
return value.Value<char>();
case TlcModule.DataKind.Enum:
if (!Enum.IsDefined(type, value.Value<string>()))
throw ectx.Except($"Requested value '{value.Value<string>()}' is not a member of the Enum type '{type.Name}'");
return Enum.Parse(type, value.Value<string>());
case TlcModule.DataKind.Float:
if (type == typeof(double))
return value.Value<double>();
else if (type == typeof(float))
return value.Value<float>();
else
{
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
}
case TlcModule.DataKind.Array:
var ja = value as JArray;
ectx.Check(ja != null, "Expected array value");
Func<IExceptionContext, JArray, Attributes, ModuleCatalog, object> makeArray = MakeArray<int>;
return Utils.MarshalInvoke(makeArray, type.GetElementType(), ectx, ja, attributes, catalog);
case TlcModule.DataKind.Int:
if (type == typeof(long))
return value.Value<long>();
if (type == typeof(int))
return value.Value<int>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
foreach (var pair in settings)
case TlcModule.DataKind.UInt:
if (type == typeof(ulong))
return value.Value<ulong>();
if (type == typeof(uint))
return value.Value<uint>();
ectx.Assert(false);
throw ectx.ExceptNotSupp();
case TlcModule.DataKind.Dictionary:
ectx.Check(value is JObject, "Expected object value");
Func<IExceptionContext, JObject, Attributes, ModuleCatalog, object> makeDict = MakeDictionary<int>;
return Utils.MarshalInvoke(makeDict, type.GetGenericArguments()[1], ectx, (JObject)value, attributes, catalog);
case TlcModule.DataKind.Component:
var jo = value as JObject;
ectx.Check(jo != null, "Expected object value");
// REVIEW: consider accepting strings alone.
var jName = jo[FieldNames.Name];
ectx.Check(jName != null, "Field '" + FieldNames.Name + "' is required for component.");
ectx.Check(jName is JValue, "Expected '" + FieldNames.Name + "' field to be a string.");
var name = jName.Value<string>();
ectx.Check(jo[FieldNames.Settings] == null || jo[FieldNames.Settings] is JObject,
"Expected '" + FieldNames.Settings + "' field to be an object");
return GetComponentJson(ectx, type, name, jo[FieldNames.Settings] as JObject, catalog);
default:
var settings = value as JObject;
ectx.Check(settings != null, "Expected object value");
var inputBuilder = new InputBuilder(ectx, type, catalog);

if (inputBuilder._fields.Length == 0)
throw ectx.Except($"Unsupported input type: {dt}");

if (settings != null)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
foreach (var pair in settings)
{
if (!inputBuilder.TrySetValueJson(pair.Key, pair.Value))
throw ectx.Except($"Unexpected value for component '{type}', field '{pair.Key}': '{pair.Value}'");
}
}
}

var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
var missing = inputBuilder.GetMissingValues().ToArray();
if (missing.Length > 0)
throw ectx.Except($"The following required inputs were not provided for component '{type}': {string.Join(", ", missing)}");
return inputBuilder.GetInstance();
}
}
catch (FormatException ex)
Expand DownExpand Up@@ -832,35 +833,35 @@ public static class SweepableDiscreteParam
public static class PipelineSweeperSupportedMetrics
{
public new static string ToString() => "SupportedMetric";
public const string Auc = "AUC";
public const string AccuracyMicro = "AccuracyMicro";
public const string AccuracyMacro = "AccuracyMacro";
public const string F1 = "F1";
public const string AuPrc = "AUPRC";
public const string TopKAccuracy = "TopKAccuracy";
public const string L1 = "L1";
public const string L2 = "L2";
public const string Rms = "RMS";
public const string LossFn = "LossFn";
public const string RSquared = "RSquared";
public const string LogLoss = "LogLoss";
public const string LogLossReduction = "LogLossReduction";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string PositivePrecision = "PositivePrecision";
public const string PositiveRecall = "PositiveRecall";
public const string NegativePrecision = "NegativePrecision";
public const string NegativeRecall = "NegativeRecall";
public const string DrAtK = "DrAtK";
public const string DrAtPFpr = "DrAtPFpr";
public const string DrAtNumPos = "DrAtNumPos";
public const string NumAnomalies = "NumAnomalies";
public const string ThreshAtK = "ThreshAtK";
public const string ThreshAtP = "ThreshAtP";
public const string ThreshAtNumPos = "ThreshAtNumPos";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";
public const string Auc = BinaryClassifierEvaluator.Auc;
public const string AccuracyMicro = Data.MultiClassClassifierEvaluator.AccuracyMicro;
public const string AccuracyMacro = MultiClassClassifierEvaluator.AccuracyMacro;
public const string F1 = BinaryClassifierEvaluator.F1;
public const string AuPrc = BinaryClassifierEvaluator.AuPrc;
public const string TopKAccuracy = MultiClassClassifierEvaluator.TopKAccuracy;
public const string L1 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L1;
public const string L2 = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.L2;
public const string Rms = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Rms;
public const string LossFn = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.Loss;
public const string RSquared = RegressionLossEvaluatorBase<MultiOutputRegressionEvaluator.Aggregator>.RSquared;
public const string LogLoss = BinaryClassifierEvaluator.LogLoss;
public const string LogLossReduction = BinaryClassifierEvaluator.LogLossReduction;
public const string Ndcg = RankerEvaluator.Ndcg;
public const string Dcg = RankerEvaluator.Dcg;
public const string PositivePrecision = BinaryClassifierEvaluator.PosPrecName;
public const string PositiveRecall = BinaryClassifierEvaluator.PosRecallName;
public const string NegativePrecision = BinaryClassifierEvaluator.NegPrecName;
public const string NegativeRecall = BinaryClassifierEvaluator.NegRecallName;
public const string DrAtK = AnomalyDetectionEvaluator.OverallMetrics.DrAtK;
public const string DrAtPFpr = AnomalyDetectionEvaluator.OverallMetrics.DrAtPFpr;
public const string DrAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.DrAtNumPos;
public const string NumAnomalies = AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies;
public const string ThreshAtK = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK;
public const string ThreshAtP = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP;
public const string ThreshAtNumPos = AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos;
public const string Nmi = ClusteringEvaluator.Nmi;
public const string AvgMinScore = ClusteringEvaluator.AvgMinScore;
public const string Dbi = ClusteringEvaluator.Dbi;
}
}
}
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/ClusteringEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,9 +38,9 @@ public sealed class Arguments

public const string LoadName = "ClusteringEvaluator";

private const string Nmi = "NMI";
private const string AvgMinScore = "AvgMinScore";
private const string Dbi = "DBI";
public const string Nmi = "NMI";
public const string AvgMinScore = "AvgMinScore";
public const string Dbi = "DBI";

private readonly bool _calculateDbi;

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6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/Evaluators/RankerEvaluator.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,9 +43,9 @@ public sealed class Arguments

public const string LoadName = "RankingEvaluator";

private const string Ndcg = "NDCG";
private const string Dcg = "DCG";
private const string MaxDcg = "MaxDCG";
public const string Ndcg = "NDCG";
public const string Dcg = "DCG";
public const string MaxDcg = "MaxDCG";

/// <summary>
/// The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
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