/// <summary>
/// Create a dataset.
/// </summary>
/// <param name="source">The source from which you want to generate a dataset.</param>
/// <param name="name">The optional name you want to give to the new dataset. </param>
public Task<DataSet> Create(Source source, string name = null, DataSet.Arguments arguments = null)
{
arguments = arguments ?? new DataSet.Arguments();
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
arguments.Source = source.Resource;
return Create<DataSet>(arguments);
}
/// <summary>
/// Create a cluster.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new centroid. </param>
/// <param name="arguments">Specifies the id of the field and values that you want to measure.</param>
public Task<Centroid> CreateCentroid(DataSet dataset, string name = null, Centroid.Arguments arguments = null)
{
arguments = arguments ?? new Centroid.Arguments();
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<Centroid>(arguments);
}
/// <summary>
/// Clone, filter or sample a dataset
/// </summary>
/// <param name="name">The optional name you want to give to the new dataset. </param>
public Task<DataSet> Transform(DataSet dataset, string name = null, DataSet.Arguments arguments = null)
{
arguments = arguments ?? new DataSet.Arguments();
arguments.OriginDataset = dataset.Resource;
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
return Create<DataSet>(arguments);
}
/// <summary>
/// Create an association.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new association. </param>
/// <param name="arguments">An object with more association parameters.</param>
public Task<Association> CreateAssociation(DataSet dataset, string name = null,
Association.Arguments arguments = null)
{
arguments = arguments ?? new Association.Arguments();
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<Association>(arguments);
}
/// <summary>
/// Create a BatchTopicDistribution.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new batch topic distributions. </param>
/// <param name="arguments">Specifies the data that you want to predict.</param>
public Task<BatchTopicDistribution> CreateBatchTopicDistribution(DataSet dataset, string name = null,
BatchTopicDistribution.Arguments arguments = null)
{
arguments = arguments ?? new BatchTopicDistribution.Arguments();
if (!string.IsNullOrWhiteSpace(name))
arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<BatchTopicDistribution>(arguments);
}
/// <summary>
/// Create an Ensemble.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new ensemble. </param>
/// <param name="arguments">Specifies the id of the field that you want to predict.</param>
public Task<Ensemble> CreateEnsemble(DataSet dataset, string name = null,
Ensemble.Arguments arguments = null)
{
arguments = arguments ?? new Ensemble.Arguments();
if (!string.IsNullOrWhiteSpace(name))
arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<Ensemble>(arguments);
}
/// <summary>
/// Create a StatisticalTest.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new correlation. </param>
/// <param name="arguments">Other extra parameters.</param>
public Task<StatisticalTest> CreateStatisticalTest(DataSet dataset, string name = null,
StatisticalTest.Arguments arguments = null)
{
arguments = arguments ?? new StatisticalTest.Arguments();
if (!string.IsNullOrWhiteSpace(name))
arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<StatisticalTest>(arguments);
}
/// <summary>
/// Create an Anomaly.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new anomaly detector. </param>
/// <param name="arguments">Specifies the id of the field that you want to predict.</param>
public Task<Anomaly> CreateAnomaly(DataSet dataset, string name = null,
Anomaly.Arguments arguments = null)
{
arguments = arguments ?? new Anomaly.Arguments();
if (!string.IsNullOrWhiteSpace(name))
arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<Anomaly>(arguments);
}
/// <summary>
/// Creates a Logistic Regression.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new logistic regression. </param>
/// <param name="arguments">Specifies the id of the field that you want to predict.</param>
public Task<LogisticRegression> CreateLogisticRegression(DataSet dataset, string name = null,
LogisticRegression.Arguments arguments = null)
{
arguments = arguments ?? new LogisticRegression.Arguments();
if (!string.IsNullOrWhiteSpace(name))
arguments.Name = name;
arguments.DataSet = dataset.Resource;
return Create<LogisticRegression>(arguments);
}
/// <summary>
/// Create a model.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new model. </param>
/// <param name="inputFields">Specifies the ids of the fields that you want to use as predictors to create the model. </param>
/// <param name="objectiveField">Specifies the id of the field that you want to predict.</param>
public Task<Model> CreateModel(DataSet dataset, string name = null, string[] inputFields = null, string objectiveField = null, Model.Arguments arguments = null)
{
arguments = arguments ?? new Model.Arguments();
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
if (inputFields != null && inputFields.Length > 0)
{
foreach (var input in arguments.Inputs) arguments.Inputs.Add(input);
}
if (!string.IsNullOrWhiteSpace(objectiveField)) arguments.Objective = objectiveField;
arguments.DataSet = dataset.Resource;
return Create<Model>(arguments);
}
/// <summary>
/// Create a cluster.
/// </summary>
/// <param name="dataset">A DataSet instance</param>
/// <param name="name">The name you want to give to the new cluster. </param>
/// <param name="k">Specifies the number of groups you want to create as parts of the cluster. </param>
/// <param name="arguments">An object with more cluster parameters.</param>
public Task<Cluster> CreateCluster(DataSet dataset, string name = null, int k = 8,
Cluster.Arguments arguments = null)
{
arguments = arguments ?? new Cluster.Arguments();
if (!string.IsNullOrWhiteSpace(name)) arguments.Name = name;
if (k > 0)
{
arguments.NumberOfCluster = k;
}
arguments.DataSet = dataset.Resource;
return Create<Cluster>(arguments);
}
private Dictionary<string, string> getFieldTermAnalysis(DataSet.Field currentField)
{
Dictionary<string, string> options = new Dictionary<string, string>();
DataSet.Field.Summary.Text textSummary;
string fieldId, regex;
int i, totalOptions;
fieldId = currentField.Id;
textSummary = (DataSet.Field.Summary.Text)currentField.FieldSummary;
//term options per field
regex = "";
foreach (KeyValuePair<string, string[]> termOptions in textSummary.TermForms)
{
regex = "(\b|_)" + termOptions.Key + "(\b|_)";
totalOptions = termOptions.Value.Length;
for (i = 0; i < totalOptions; i++)
{
regex += "|(\b|_)" + termOptions.Value[i] + "(\b|_)";
}
options.Add(termOptions.Key, regex);
}
return options;
}
public Task<Model> Create(DataSet dataset, string name = null, string[] inputFields = null, string objectiveField = null, Model.Arguments arguments = null)
{
return CreateModel(dataset, name, inputFields, objectiveField, arguments);
}
/// <summary>
/// Create a dataset using the supplied arguments.
/// </summary>
public Task<DataSet> Create(DataSet.Arguments arguments)
{
return Create<DataSet>(arguments);
}
public Task<bool> Download(DataSet dataset, FileStream f)
{
return Download(dataset.Resource, f);
}
public Task<DataSet> Create(Source source, string name = null, DataSet.Arguments arguments = null)
{
return CreateDataset(source, name, arguments);
}
