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| Original file line number | Diff line number | Diff line change |
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| using Newtonsoft.Json.Linq; | ||
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| namespace BigML | ||
| { | ||
| public partial class OptiML | ||
| { | ||
| public class Arguments : Arguments<OptiML> | ||
| { | ||
| public Arguments() | ||
| { | ||
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| } | ||
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| /// <summary> | ||
| /// A valid dataset/id. | ||
| /// </summary> | ||
| public string DataSet | ||
| { | ||
| get; | ||
| set; | ||
| } | ||
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| public override JObject ToJson() | ||
| { | ||
| dynamic json = base.ToJson(); | ||
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| if(!string.IsNullOrWhiteSpace(DataSet)) json.dataset = DataSet; | ||
| return json; | ||
| } | ||
| } | ||
| } | ||
| } |
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| @@ -0,0 +1,39 @@ | ||
| using System.Threading.Tasks; | ||
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| namespace BigML | ||
| { | ||
| public partial class Client | ||
| { | ||
| /// <summary> | ||
| /// Create a OptiML using supplied arguments. | ||
| /// </summary> | ||
| public Task<OptiML> CreateOptiML(OptiML.Arguments arguments) | ||
| { | ||
| return Create<OptiML>(arguments); | ||
| } | ||
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| /// <summary> | ||
| /// Create a OptiML. | ||
| /// </summary> | ||
| /// <param name="dataset">A DataSet instance</param> | ||
| /// <param name="name">The name you want to give to the new OptiML. </param> | ||
| /// <param name="arguments">The other parameters you want to specify (description, tags, etc.)</param> | ||
| public Task<OptiML> CreateOptiML(DataSet dataset, string name = null, | ||
| OptiML.Arguments arguments = null) | ||
| { | ||
| arguments = arguments ?? new OptiML.Arguments(); | ||
| if (!string.IsNullOrWhiteSpace(name)) | ||
| arguments.Name = name; | ||
| arguments.DataSet = dataset.Resource; | ||
| return Create<OptiML>(arguments); | ||
| } | ||
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| /// <summary> | ||
| /// List all the OptiMLs | ||
| /// </summary> | ||
| public Query<OptiML.Filterable, OptiML.Orderable, OptiML> ListOptiMLs() | ||
| { | ||
| return new OptimlListing(List<OptiML>); | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| using BigML.Meta; | ||
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| namespace BigML | ||
| { | ||
| public partial class OptiML | ||
| { | ||
| /// <summary> | ||
| /// Filterable properties for OptiML | ||
| /// </summary> | ||
| public class Filterable : Filterable<OptiML> | ||
| { | ||
| /// <summary> | ||
| /// The dataset/id that was used to build the OptiML. | ||
| /// </summary> | ||
| public String Dataset | ||
| { | ||
| get { return Object.dataset; } | ||
| } | ||
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| /// <summary> | ||
| /// Whether the dataset is still available or has been deleted. | ||
| /// </summary> | ||
| public Bool DatasetStatus | ||
| { | ||
| get { return Object.dataset_status; } | ||
| } | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,57 @@ | ||
| using System; | ||
| using System.Collections.Generic; | ||
| using System.Linq; | ||
| using System.Text; | ||
| using System.Threading.Tasks; | ||
|
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| namespace BigML | ||
| { | ||
| /// <summary> | ||
| /// An OptiML is an automated optimization process for model selection and | ||
| /// parameterization (or hyper-parameterization) to solve classification | ||
| /// and regression problems. | ||
| /// The complete and updated reference with all available parameters is in | ||
| /// our <a href="https://bigml.com/api/optimls">documentation</a> website. | ||
| /// </summary> | ||
| public partial class OptiML : Response | ||
| { | ||
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| /// <summary> | ||
| /// The name of the OptiML as your provided or based on the name | ||
| /// of the dataset by default. | ||
| /// </summary> | ||
| public string Name | ||
| { | ||
| get { return Object.name; } | ||
| } | ||
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| /// <summary> | ||
| /// The dataset/id that was used to build the OptiML. | ||
| /// </summary> | ||
| public string DataSet | ||
| { | ||
| get { return Object.dataset; } | ||
| } | ||
|
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| /// <summary> | ||
| /// Whether the dataset is still available or has been deleted. | ||
| /// </summary> | ||
| public bool DataSetStatus | ||
| { | ||
| get { return Object.dataset_status; } | ||
| } | ||
|
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| /// <summary> | ||
| /// A description of the status of the OptiML. It includes a code, a message, | ||
| /// and some extra information. | ||
| /// </summary> | ||
| public Status StatusMessage | ||
| { | ||
| get { return new Status(Object.status); } | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,13 @@ | ||
| using System; | ||
| using System.Threading.Tasks; | ||
|
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| namespace BigML | ||
| { | ||
| public class OptimlListing : Query<OptiML.Filterable, OptiML.Orderable, OptiML> | ||
| { | ||
| public OptimlListing(Func<string, Task<Listing<OptiML>>> client) | ||
| : base(client) | ||
| { | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,31 @@ | ||
| using BigML.Meta; | ||
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| namespace BigML | ||
| { | ||
| using Meta.Key; | ||
|
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| public partial class OptiML | ||
| { | ||
| /// <summary> | ||
| /// Orderable properties for OptiMLs | ||
| /// </summary> | ||
| public class Orderable : Orderable<OptiML> | ||
| { | ||
| /// <summary> | ||
| /// The dataset/id that was used to build the OptiML. | ||
| /// </summary> | ||
| public String Dataset | ||
| { | ||
| get { return Object.dataset; } | ||
| } | ||
|
|
||
| /// <summary> | ||
| /// Whether the dataset is still available or has been deleted. | ||
| /// </summary> | ||
| public Bool DatasetStatus | ||
| { | ||
| get { return Object.dataset_status; } | ||
| } | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| using Newtonsoft.Json.Linq; | ||
|
|
||
| namespace BigML | ||
| { | ||
| public partial class OptiML | ||
| { | ||
| /// <summary> | ||
| /// Creating an OptiML is a process that can take just a few | ||
| /// seconds or a few hours depending on the size of the dataset used as | ||
| /// input and on the work load of BigML's systems. | ||
| /// The OptiML goes through a number of states until its completed. | ||
| /// Through the status field in the OptiML you can determine when the | ||
| /// OptiML has been fully processed and ready to be used in scatterplot. | ||
| /// </summary> | ||
| public class Status : Status<OptiML> | ||
| { | ||
| internal Status(JObject status): base(status) | ||
| { | ||
| } | ||
|
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| /// <summary> | ||
| /// How far BigML.io has progressed processing the OptiML. | ||
| /// </summary> | ||
| public double Progress | ||
| { | ||
| get { return _status.progress; } | ||
| } | ||
|
|
||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,4 @@ | ||
| To run and develop you should use dotnet framework 4.5 | ||
| To develop to need visual studio 2012 (version 11) or higher. | ||
| To develop to need visual studio 2015 (version 14) or higher. | ||
| To add the reference "Newtonsoft.Json" you need to run in the package manager: | ||
| PM> Install-Package Newtonsoft.Json -Version 9.0.1 BigML | ||
| PM> Install-Package Newtonsoft.Json -Version 11.0.1 BigML |
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