KEY |
TYPE |
Description |
name |
str |
The name of the algorithm |
problemType |
str |
The type of the problem this algorithm will work on |
createdAt |
str |
When the algorithm was created |
updatedAt |
str |
When the algorithm was last updated |
isDefaultEnabled |
bool |
Whether train with the algorithm by default |
trainingInputMappings |
dict |
The mappings for train function parameters' names, e.g. names for training data, name for training config |
trainFunctionName |
str |
Name of the function found in the source code that will be executed to train the model. It is not executed when this function is run. |
predictFunctionName |
str |
Name of the function found in the source code that will be executed run predictions through model. It is not executed when this function is run. |
predictManyFunctionName |
str |
Name of the function found in the source code that will be executed for batch prediction of the model. It is not executed when this function is run. |
initializeFunctionName |
str |
Name of the function found in the source code to initialize the trained model before using it to make predictions using the model |
configOptions |
dict |
Map dataset types and configs to train function parameter names |
algorithmId |
str |
The unique identifier of the algorithm |
useGpu |
bool |
Whether to use gpu for model training |
algorithmTrainingConfig |
dict |
The algorithm specific training config |
onlyOfflineDeployable |
bool |
Whether or not the algorithm is only allowed to be deployed offline |
codeSource |
CodeSource |
Info about the source code of the algorithm
KEY |
TYPE |
Description |
sourceType |
str |
The type of the source, one of TEXT, PYTHON, FILE_UPLOAD, or APPLICATION_CONNECTOR |
sourceCode |
str |
If the type of the source is TEXT, the raw text of the function |
applicationConnectorId |
str |
The Application Connector to fetch the code from |
applicationConnectorInfo |
str |
Args passed to the application connector to fetch the code |
packageRequirements |
list |
The pip package dependencies required to run the code |
status |
str |
The status of the code and validations |
error |
str |
If the status is failed, an error message describing what went wrong |
publishingMsg |
dict |
Warnings in the source code |
moduleDependencies |
list |
The list of internal modules dependencies required to run the code |
|