public IModelCreationBuilder <TInput, TOutput, TResult> LoadDefaultData()
{
Records = LoadFromEmbededResource.GetRecords <TInput>("Content.SpamDetectionData.csv", delimiter: ",");
var smsRecords = LoadFromEmbededResource.GetRecords <TInput>("Content.SMSSpamCollection.txt", delimiter: "\t", hasHeaderRecord: false);
Records.AddRange(smsRecords);
return(this);
}
public override IModelCreationBuilder <SpamInput, SpamPrediction, MulticlassClassificationFoldsAverageMetricsResult> LoadDefaultData()
{
Records = LoadFromEmbededResource.GetRecords <SpamInput>("Content.SpamDetectionData.csv", delimiter: ",");
// Records = LoadFromEmbededResource.GetRecords<SpamInput>("Content.SMSSpamCollection.txt", delimiter: "\t", hasHeaderRecord: false);
var smsRecords = LoadFromEmbededResource.GetRecords <SpamInput>("Content.SMSSpamCollection.txt", delimiter: "\t", hasHeaderRecord: false);
Records.AddRange(smsRecords);
return(this);
}
public IModelCreationBuilder <TInput, TOutput, TResult> LoadDefaultData()
{
var inputs = LoadFromEmbededResource.GetRecords <InputSentimentIssueRow>("Content.wikiDetoxAnnotated40kRows.tsv", delimiter: "\t", hasHeaderRecord: true);
// convert int to boolean values
var result = new List <SentimentIssue>();
foreach (var item in inputs)
{
var newItem = new SentimentIssue
{
Label = item.Label == 0 ? false : true,
Text = item.comment
};
result.Add(newItem);
}
Records.AddRange(result as List <TInput>);
return(this);
}
public override IModelCreationBuilder <SentimentIssue, SentimentPrediction, BinaryClassificationMetricsResult> LoadDefaultData()
{
var inputs = LoadFromEmbededResource.GetRecords <InputSentimentIssueRow>("Content.wikiDetoxAnnotated40kRows.tsv", delimiter: "\t", hasHeaderRecord: true);
// convert int to boolean values
var result = new List <SentimentIssue>();
foreach (var item in inputs)
{
var newItem = new SentimentIssue
{
Label = item.Label != 0,
Text = item.comment
};
result.Add(newItem);
}
Records.AddRange(result);
return(this);
}
