Create, get and update

Create Model

You can create your own model and train it with your own images and concepts. Once you train it to see how you would like it to see, you can then use that model to make predictions.

When you create a model you give it a name and an id. If you don't supply an id, one will be created for you.

app.models.create("petsID").then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.CreateModel("petsID")
                .ExecuteAsync();
        }
    }
}

[_app createModel:nil name:@"petsModel" modelID:@"petsID" conceptsMutuallyExclusive:NO closedEnvironment:NO completion:^(ClarifaiModel *model, NSError *error) {
    NSLog(@"model: %@", model);
}];

use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->createModel('{model_id}')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Create Model With Concepts

You can also create a model and initialize it with the concepts it will contain. You can always add and remove concepts later.

app.models.create(
  "petsID",
  [
    { "id": "boscoe" }
  ]
).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.CreateModel(
                    "petsID",
                    concepts: new List<Concept> {new Concept("boscoe")})
                .ExecuteAsync();
        }
    }
}

[_app createModel:@[@"cat", @"dog"] name:@"petsModel" modelID:@"petsID" conceptsMutuallyExclusive:NO closedEnvironment:NO completion:^(ClarifaiModel *model, NSError *error) {
    NSLog(@"model: %@", model);
}];

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->createModel('MODEL_ID')
    ->withConcepts([new Concept('CONCEPT1')])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "model": {
      "id": "petsID",
      "output_info": {
        "data": {
          "concepts": [
            {
              "id": "boscoe"
            }
          ]
        },
        "output_config": {
          "concepts_mutually_exclusive": false,
          "closed_environment":false
        }
      }
    }
  }'\
  https://api.clarifai.com/v2/models

Add Concepts To A Model

You can add concepts to a model at any point. As you add concepts to inputs, you may want to add them to your model.

app.models.initModel({model_id}).then(function(model) {
  updateModel,
  function(err) {
    // there was an error
  }
});

function updateModel(model) {
  model.mergeConcepts({"id": "boscoe"}).then(
    function(response) {
      // do something with response
    },
    function(err) {
      // there was an error
    }
  );
}

client.modifyModel("{{model_id}}")
    .withConcepts(Action.MERGE, Concept.forID("dogs"))
    .executeSync();

// Or, if you have a ConceptModel object, you can do it in an OO fashion
final ConceptModel model = client.getModelByID("{model_id}").executeSync().get().asConceptModel();
model.modify()
    .withConcepts(Action.MERGE, Concept.forID("dogs"))
    .executeSync();

using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Models;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyModel(
                    "petsID",
                    ModifyAction.Merge,
                    concepts: new List<Concept> {new Concept("dogs")})
                .ExecuteAsync();

            // Or, if you have a ConceptModel object, you can do it in an OO fashion
            ConceptModel model = (ConceptModel) (
                await client.GetModel<Concept>("petsID")
                    .ExecuteAsync()).Get();
            await model.Modify(
                    ModifyAction.Merge,
                    concepts: new List<Concept> {new Concept("dogs")})
                .ExecuteAsync();
        }
    }
}

ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"dress"];
[app addConcepts:@[concept] toModelWithID:@"{model_id}" completion:^(ClarifaiModel *model, NSError *error) {
    NSLog(@"model: %@", model);
}];

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyModel('MODEL_ID')
    ->withModifyAction(ModifyAction::merge())
    ->withConcepts([new Concept('CONCEPT')])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "models": [
      {
        "id": "{model_id}",
        "output_info": {
          "data": {
            "concepts": [
              {
                "id": "dogs"
              }
            ]
          }
        }
      }
    ],
    "action": "merge"
  }'\
  https://api.clarifai.com/v2/models/

Remove Concepts From A Model

Conversely, if you'd like to remove concepts from a model, you can also do that.

app.models.initModel({model_id}).then(function(model) {
  updateModel,
  function(err) {
    // there was an error
  }
});

function updateModel(model) {
  model.deleteConcepts({"id": "boscoe"}).then(
    function(response) {
      // do something with response
    },
    function(err) {
      // there was an error
    }
  );
}

client.modifyModel("{{model_id}}")
    .withConcepts(Action.REMOVE, Concept.forID("dogs"))
    .executeSync();

// Or, if you have a ConceptModel object, you can do it in an OO fashion
final ConceptModel model = client.getModelByID("{{model_id}}").executeSync().get().asConceptModel();
model.modify()
    .withConcepts(Action.REMOVE, Concept.forID("dogs"))
    .executeSync();

using System.Collections.Generic;
using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.API.Requests.Models;
using Clarifai.DTOs.Models;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyModel(
                    "petsID",
                    ModifyAction.Remove,
                    concepts: new List<Concept> {new Concept("dogs")})
                .ExecuteAsync();

// Or, if you have a ConceptModel object, you can do it in an OO fashion
            ConceptModel model = (ConceptModel) (
                    await client.GetModel<Concept>("petsID")
                        .ExecuteAsync())
                .Get();
            await model.Modify(
                    ModifyAction.Remove,
                    concepts: new List<Concept> {new Concept("dogs")})
                .ExecuteAsync();
        }
    }
}

ClarifaiConcept *concept = [[ClarifaiConcept alloc] initWithConceptName:@"dress"];
[app deleteConcepts:@[concept] fromModelWithID:@"{model_id}" completion:^(ClarifaiModel *model, NSError *error) {
    NSLog(@"model: %@", model);
}];

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ModifyAction;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyModel('MODEL_ID')
    ->withModifyAction(ModifyAction::remove())
    ->withConcepts([new Concept('CONCEPT')])
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "models": [
      {
        "id": "{model_id}",
        "output_info": {
          "data": {
            "concepts": [
              {
                "id": "dogs"
              }
            ]
          }
        }
      }
    ],
    "action": "remove"
  }'\
  https://api.clarifai.com/v2/models/

Update Concept Name

The code below showcases how to update a concept's name given its id.

** Coming Soon

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyConcepts(
                    new Concept("{concept-id}", name: "{new-concept-name}"))
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyConcepts((new Concept('CONCEPT'))->withName('UPDATED_CONCEPT_NAME'))
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "concepts": [
      {
        "id": "{concept_id}",
        "name": "{new_concept_name}"
      }
      ],
    "action": "overwrite"
  }'\
  https://api.clarifai.com/v2/concepts

Update Model Name and Configuration

Here we will change the model name to 'newname' and the model's configuration to have concepts_mutually_exclusive=true and closed_environment=true.

app.models.initModel({model_id}).then(
  updateModel,
  function(err) {
    // there was an error
  }
);

function updateModel(model) {
  model.update({
    name: 'newname',
    conceptsMutuallyExclusive: true,
    closedEnvironment: true,
    concepts: ['birds', 'hurd']
  }).then(
}

from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

model = app.models.get('{model_id}')

# only update the name
model.update(model_name="newname")

# update the model attributes
model.update(concepts_mutually_exclusive=True, closed_environment=True)

# update more together
model.update(model_name="newname",
             concepts_mutually_exclusive=True, closed_environment=True)

# update attributes together with concepts
model.update(model_name="newname",
             concepts_mutually_exclusive=True,
             concepts=["birds", "hurd"])

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.ModifyModel(
                    "someModel",
                    name: "{newName}",
                    areConceptsMutuallyExclusive: true,
                    isEnvironmentClosed: false)
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->modifyModel('MODEL_ID')
    ->withName('NEW_MODEL_NAME')
    ->withAreConceptsMutuallyExclusive(false)
    ->withIsEnvironmentClosed(false)
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X PATCH \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "models": [
      {
        "id": "MODEL_ID",
        "name": "newname",
        "output_info": {
          "output_config": {
            "concepts_mutually_exclusive": true,
            "closed_environment": true
          }
        }
      }
    ],
    "action": "overwrite"
  }'\
  https://api.clarifai.com/v2/models/

Get Models

To get a list of all models including models you've created as well as public models:

app.models.list().then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetModels()
                .Page(1)
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\Model;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getModels()
    ->executeSync();

if ($response->isSuccessful()) {
    $models = $response->get();

    foreach ($models as $model) {
        echo $model->modelID() . ' ' . $model->type() . "\n";
    }
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Get Model By Id

All models have unique Ids. You can get a specific model by its id:

app.models.get({model_id}).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            // Change Concept to whatever the model's type is.
            await client.GetModel<Concept>("{model_id}")
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\Model;
use Clarifai\DTOs\Models\ModelType;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getModel(ModelType::concept(), 'MODEL_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    $model = $response->get();

    echo $model->modelID() . ' ' . $model->type() . "\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Get Model Output Info By Id

The output info of a model lists what concepts it contains.

app.models.initModel({model_id}).then(
  getModelOutputInfo,
  handleError
);

function getModelOutputInfo(model) {
  model.getOutputInfo().then(
    function(response) {
      // do something with response
    },
    function(err) {
      // there was an error
    }
  );
}

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Models;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            var r = await client.GetModel<Concept>("{model-id}")
                .ExecuteAsync();
            var model = (ConceptModel) r.Get();
            var outputInfo = model.OutputInfo;
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\Model;
use Clarifai\DTOs\Models\ModelType;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getModel(ModelType::concept(), 'MODEL_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    /** @var Model $model */
    $model = $response->get();

    $modelOutputInfo = $model->outputInfo();

    echo $modelOutputInfo->typeExt() . "\n";
    echo $modelOutputInfo->message() . "\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

List Model Versions

Every time you train a model, it creates a new version. You can list all the versions created.

app.models.initModel('{id}').then(
  function(model) {
    model.getVersions().then(
      function(response) {
        // do something with response
      },
      function(err) {
        // there was an error
      }
    );
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetModelVersions("{model_id}")
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\ModelVersion;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getModelVersions('MODEL_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    /** @var ModelVersion[] $modelVersions */
    $modelVersions = $response->get();
    foreach ($modelVersions as $modelVersion) {
        echo $modelVersion->id() . ' ' . $modelVersion->modelTrainingStatus() . "\n";
    }

} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Get Model Version By Id

To get a specific model version, you must provide the model_id as well as the version_id. You can inspect the model version status to determine if your model is trained or still training.

app.models.initModel('{id}').then(
  function(model) {
    model.getVersion('{version_id}').then(
      function(response) {
        // do something with response
      },
      function(err) {
        // there was an error
      }
    );
  },
  function(err) {
    // there was an error
  }
);

client.getModelVersionByID("{model_id}", "{version_id}").executeSync();

// Or in a more object-oriented manner:
client.getModelByID("{model_id}")
    .executeSync().get() // Returns Model object
    .getVersionByID("{version_id}").executeSync();

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetModelVersion("{model_id}", "{version_id}")
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\ModelVersion;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->getModelVersion('MODEL_ID', 'MODEL_VERSION_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    /** @var ModelVersion $modelVersion */
    $modelVersion = $response->get();
    echo $modelVersion->id() . ' ' . $modelVersion->modelTrainingStatus() . "\n";

} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Get Model Training Inputs

You can list all the inputs that were used to train the model.

app.models.initModel('{id}').then(
  function(model) {
    model.getInputs().then(
      function(response) {
        // do something with response
      },
      function(err) {
        // there was an error
      }
    );
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetModelInputs("{model_id}")
                .Page(1)
                .ExecuteAsync();
        }
    }
}

Get Model Training Inputs By Version

You can also list all the inputs that were used to train a specific model version.

app.models.initModel({id: '{model_id}', version: '{version_id}'}).then(
  function(model) {
    model.getInputs().then(
      function(response) {
        // do something with response
      },
      function(err) {
        // there was an error
      }
    );
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.GetModelInputs("{model_id}", "{version_id}")
                .Page(1)
                .ExecuteAsync();
        }
    }
}

Delete A Model

You can delete a model using the model_id.

app.models.delete('{id}').then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteModel("{model_id}")
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteModel('MODEL_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Delete A Model Version

You can also delete a specific version of a model with the model_id and version_id.

app.models.delete('{model_id}', '{version_id}').then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

app.models.delete('{id}', '{version_id}')

# or

model = app.models.get('{id}')
model.delete_version('{version_id}')

client.deleteModelVersion("{model_id}", "{version_id}").executeSync();

// Or in a more object-oriented manner:
client.getModelByID("{model_id}")
    .executeSync().get() // Returns Model object
    .deleteVersion("{version_id}")
    .executeSync();

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteModelVersion("{model_id}", "{version_id}")
                .ExecuteAsync();

            // Or in a more object-oriented manner:
            var model = (await client.GetModel<Concept>("{model_id}")
                .ExecuteAsync()).Get();  // Returns a Model<Concept> object.
            await model.DeleteModelVersion("{version_id}").ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteModelVersion('MODEL_ID', 'MODEL_VERSION_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Delete All Models

If you would like to delete all models associated with an application, you can also do that. Please proceed with caution as these cannot be recovered.

app.models.delete().then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.DeleteAllModels()
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use ClarifaiIntTests\BaseIntTest;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->deleteAllModels()
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Train A Model

When you train a model, you are telling the system to look at all the images with concepts you've provided and learn from them. This train operation is asynchronous. It may take a few seconds for your model to be fully trained and ready.

Note: you can repeat this operation as often as you like. By adding more images with concepts and training, you can get the model to predict exactly how you want it to.

app.models.train("{model_id}").then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

// or if you have an instance of a model

model.train().then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.TrainModel<Concept>("{model_id}")
                .ExecuteAsync();
        }
    }
}

ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"]
[app getModel:@"{id}" completion:^(ClarifaiModel *model, NSError *error) {
    [model train:^(ClarifaiModel *model, NSError *error) {
        NSLog(@"model: %@", model);
    }];
}];

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\ModelType;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->trainModel(ModelType::concept(), 'MODEL_ID')
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

Predict With A Model

Once you have trained a model you are ready to use your new model to get predictions. The predictions returned will only contain the concepts that you told it to see.

app.models.predict("{model_id}", ["https://samples.clarifai.com/puppy.jpg"]).then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

// or if you have an instance of a model

model.predict("https://samples.clarifai.com/puppy.jpg").then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Inputs;
using Clarifai.DTOs.Predictions;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.Predict<Concept>(
                    "{model_id}",
                    new ClarifaiURLImage("https://samples.clarifai.com/puppy.jpg"))
                .ExecuteAsync();
        }
    }
}

ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/puppy.jpg"]
[app getModel:@"{model_id}" completion:^(ClarifaiModel *model, NSError *error) {
    [model predictOnImages:@[image]
                completion:^(NSArray<ClarifaiSearchResult *> *outputs, NSError *error) {
                    NSLog(@"outputs: %@", outputs);
                }];
}];

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Inputs\ClarifaiURLImage;
use Clarifai\DTOs\Models\ModelType;
use Clarifai\DTOs\Outputs\ClarifaiOutput;
use Clarifai\DTOs\Predictions\Concept;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->predict(ModelType::concept(), 'MODEL_ID',
        new ClarifaiURLImage('https://samples.clarifai.com/puppy.jpeg'))
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    /** @var ClarifaiOutput $output */
    $output = $response->get();

    echo "Predicted concepts:\n";
    /** @var Concept $concept */
    foreach ($output->data() as $concept) {
        echo $concept->name() . ': ' . $concept->value() . "\n";
    }
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "inputs": [
      {
        "data": {
          "image": {
            "url": "https://samples.clarifai.com/puppy.jpg"
          }
        }
      }
    ]
  }'\
  https://api.clarifai.com/v2/models/{model_id}/outputs

Search Models By Name And Type

You can search all your models by name and type of model.

app.models.search('general-v1.3', 'concept').then(
  function(response) {
    // do something with response
  },
  function(err) {
    // there was an error
  }
);

from clarifai.rest import ClarifaiApp
app = ClarifaiApp(api_key='YOUR_API_KEY')

# search model name
app.models.search('general-v1.3')

# search model name and type
app.models.search(model_name='general-v1.3', model_type='concept')

using System.Threading.Tasks;
using Clarifai.API;
using Clarifai.DTOs.Models;

namespace YourNamespace
{
    public class YourClassName
    {
        public static async Task Main()
        {
            var client = new ClarifaiClient("YOUR_API_KEY");

            await client.SearchModels(
                    modelType: ModelType.Concept,
                    name: "general-v1.3")
                .ExecuteAsync();
        }
    }
}

use Clarifai\API\ClarifaiClient;
use Clarifai\DTOs\Models\Model;
use Clarifai\DTOs\Models\ModelType;

$client = new ClarifaiClient('YOUR_API_KEY');

$response = $client->searchModels('general*', ModelType::concept())
    ->executeSync();

if ($response->isSuccessful()) {
    echo "Response is successful.\n";

    /** @var Model[] $models */
    $models = $response->get();

    foreach ($models as $model) {
        echo $model->name() . ' ' . $model->type() . "\n";
    }
} else {
    echo "Response is not successful. Reason: \n";
    echo $response->status()->description() . "\n";
    echo $response->status()->errorDetails() . "\n";
    echo "Status code: " . $response->status()->statusCode();
}

curl -X POST \
  -H "Authorization: Key YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '
  {
    "model_query": {
      "name": "general-v1.3",
      "type": "concept"
    }
  }'\
  https://api.clarifai.com/v2/models/searches

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