# Restricted Boltzmann Machine (DL\_RBM)

An RBM is a type of neural network used for unsupervised learning. It has two layers of neurons - visible and hidden - that are connected by weights. RBMs are unique because they have symmetric connections between the visible and hidden layers and no connections within the same layer. They use contrastive divergence to adjust the weights and learn complex probability distributions of the input data. RBMs are used in applications such as image and speech recognition, dimensionality reduction, and collaborative filtering. They can learn without labeled data and be used as building blocks for larger neural network architectures.

## Sample Request

Build an RBM for data clustering

```json
{
    "project_id": 1,
    "parent_id": 7,
    "block_id": 8,
    "function_code": "DL_RBM_I",
    "args": {
    "hyp_params":{
            "n_components": 5,
            "n_iter": 5
        }
    }
}
```

## Building a Restricted Boltzmann Machine

## RBM Construction

<mark style="color:green;">`POST`</mark> `https://autogon.ai/api/v1/engine/start`

#### Request Body

| Name                                             | Type   | Description                                                         |
| ------------------------------------------------ | ------ | ------------------------------------------------------------------- |
| project\_id<mark style="color:red;">\*</mark>    | int    | The `id` of the current project                                     |
| block\_id<mark style="color:red;">\*</mark>      | int    | The `id` of the current block                                       |
| function\_code<mark style="color:red;">\*</mark> | string | The function code for current block                                 |
| parent\_id<mark style="color:red;">\*</mark>     | int    | The `id` of the previous block                                      |
| args<mark style="color:red;">\*</mark>           | object | Block arguments                                                     |
| n\_components                                    | int    | Number of binary hidden units                                       |
| n\_iter                                          | int    | Number of iterations over the dataset                               |
| random\_state                                    | int    | Pass an int for reproducible results across multiple function calls |
| learning\_rate                                   | float  | The learning rate for weight updates                                |

{% tabs %}
{% tab title="200 Statemanagement object" %}

```json
{
    "status": "true",
    "message": {
        "id": 8,
        "project": 1,
        "block_id": 8,
        "parent_id": 7,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}
```

{% endtab %}
{% endtabs %}

## Sample Request

Compile and train the pre-built RBM model, using passed in Hyper Parameters

```json
{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "DL_RBM_T",
    "args": {
        "model_name": "titanic_model",
        "hyp_params":{
        }
    }
}
```

## Training a Restricted Boltzmann Machine

## RBM Training

<mark style="color:green;">`POST`</mark> `https://autogon.ai/api/v1`

#### Request Body

| Name                                             | Type   | Description                                         |
| ------------------------------------------------ | ------ | --------------------------------------------------- |
| project\_id<mark style="color:red;">\*</mark>    | int    | The `id` of the current project                     |
| hyp\_params                                      | object | hyper parameters for model compilation and training |
| parent\_id<mark style="color:red;">\*</mark>     | int    | The `id` of the previous block                      |
| block\_id<mark style="color:red;">\*</mark>      | int    | The `id` of the current block                       |
| function\_code<mark style="color:red;">\*</mark> |        | The function code for current block                 |
| args<mark style="color:red;">\*</mark>           | object | Block arguments                                     |
| model\_name<mark style="color:red;">\*</mark>    | String | The name the model would be saved with              |

{% tabs %}
{% tab title="200: OK Statemanagement Object" %}

```json
{
    "status": "true",
    "message": {
        "id": 9,
        "project": 1,
        "block_id": 9,
        "parent_id": 8,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}
```

{% endtab %}
{% endtabs %}

## Sample Request

Make predictions with the trained RBM model.

```json
{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "DL_RBM_P",
    "args": {
        "test_data": "",
    }
}
```

## Predicting with a Restricted Boltzmann Machine

## RBM Predict

<mark style="color:green;">`POST`</mark> `https://autogon.ai/api/v1/engine/start`

#### Request Body

| Name                                             | Type   | Description                         |
| ------------------------------------------------ | ------ | ----------------------------------- |
| test\_data<mark style="color:red;">\*</mark>     | String | Input data for prediction           |
| project\_id<mark style="color:red;">\*</mark>    | int    | ID of the current project           |
| block\_id<mark style="color:red;">\*</mark>      | int    | ID of the current block             |
| parent\_id<mark style="color:red;">\*</mark>     | int    | ID of the previous block            |
| function\_code<mark style="color:red;">\*</mark> | String | Function code for the current block |
| args<mark style="color:red;">\*</mark>           | object | Block arguments                     |

{% tabs %}
{% tab title="200: OK Statemanagement object" %}

```javascript
{
    "status": "true",
    "message": {
        "id": 9,
        "project": 1,
        "block_id": 9,
        "parent_id": 8,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}
```

{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="Python" %}

```
// Some code
```

{% endtab %}

{% tab title="Node" %}

```
// Some code
```

{% endtab %}
{% endtabs %}


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