andreasjansson / train-dynamic-system
(Updated 2 months, 1 week ago)
- Public
- 164 runs
Run andreasjansson/train-dynamic-system with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| code |
string
|
None
|
|
| target1 |
string
|
None
|
|
| target2 |
string
|
None
|
|
| width |
integer
|
128
|
None
|
| height |
integer
|
128
|
None
|
| training_steps |
integer
|
1000
|
None
|
| max_variables |
integer
|
100
|
None
|
| cycle_length |
integer
|
20
|
None
|
| loss_cycles |
integer
|
4
|
None
|
| total_cycles |
integer
|
6
|
None
|
| learning_rate |
number
|
0.005
|
None
|
| yield_every |
integer
|
250
|
None
|
| return_animation |
boolean
|
True
|
None
|
| timeout |
integer
|
600
|
None
|
| seed |
integer
|
None
|
|
| model_state |
string
|
None
|
|
| optimizer_state |
string
|
None
|
{
"type": "object",
"title": "Input",
"required": [
"code",
"target1",
"target2"
],
"properties": {
"code": {
"type": "string",
"title": "Code",
"x-order": 0
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 14
},
"width": {
"type": "integer",
"title": "Width",
"default": 128,
"x-order": 3
},
"height": {
"type": "integer",
"title": "Height",
"default": 128,
"x-order": 4
},
"target1": {
"type": "string",
"title": "Target1",
"format": "uri",
"x-order": 1
},
"target2": {
"type": "string",
"title": "Target2",
"format": "uri",
"x-order": 2
},
"timeout": {
"type": "integer",
"title": "Timeout",
"default": 600,
"x-order": 13
},
"loss_cycles": {
"type": "integer",
"title": "Loss Cycles",
"default": 4,
"x-order": 8
},
"model_state": {
"type": "string",
"title": "Model State",
"format": "uri",
"x-order": 15
},
"yield_every": {
"type": "integer",
"title": "Yield Every",
"default": 250,
"x-order": 11
},
"cycle_length": {
"type": "integer",
"title": "Cycle Length",
"default": 20,
"x-order": 7
},
"total_cycles": {
"type": "integer",
"title": "Total Cycles",
"default": 6,
"x-order": 9
},
"learning_rate": {
"type": "number",
"title": "Learning Rate",
"default": 0.005,
"x-order": 10
},
"max_variables": {
"type": "integer",
"title": "Max Variables",
"default": 100,
"x-order": 6
},
"training_steps": {
"type": "integer",
"title": "Training Steps",
"default": 1000,
"x-order": 5
},
"optimizer_state": {
"type": "string",
"title": "Optimizer State",
"format": "uri",
"x-order": 16
},
"return_animation": {
"type": "boolean",
"title": "Return Animation",
"default": true,
"x-order": 12
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "array",
"items": {
"type": "object",
"title": "ModelOutput",
"required": [
"visualization"
],
"properties": {
"animation": {
"type": "string",
"title": "Animation",
"format": "uri"
},
"model_state": {
"type": "string",
"title": "Model State",
"format": "uri"
},
"cycle_images": {
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Cycle Images"
},
"visualization": {
"type": "string",
"title": "Visualization",
"format": "uri"
},
"optimizer_state": {
"type": "string",
"title": "Optimizer State",
"format": "uri"
},
"historical_losses": {
"type": "array",
"items": {
"type": "number"
},
"title": "Historical Losses"
},
"cycle_losses_target1": {
"type": "array",
"items": {
"type": "number"
},
"title": "Cycle Losses Target1"
},
"cycle_losses_target2": {
"type": "array",
"items": {
"type": "number"
},
"title": "Cycle Losses Target2"
}
}
},
"title": "Output",
"x-cog-array-type": "iterator"
}