describe
command is used to display the attributes of an existing model. It accepts the name of the model and describe attribute separated by ’.’ as an argument.
Here is how to call the describe
command:
Name | Description |
---|---|
predictor_name | The name of the predictor whose statistics you want to see. |
attribute | The argument of the describe command defines the type of statistics (features , or model , or ensemble ). |
describe
Command with the features
Parameterdb.runCommand({describe: "predictor_name.features"})
command is used to display the
way the model encoded the data before training.
Name | Description |
---|---|
"column" | The name of the column. |
"type" | Type of the inferred data. |
"encoder" | Encoder used. |
"role" | Role of the column (feature or target ). |
home_rentals_model
model.
describe
Command with the model
Parameterdb.runCommand({describe: "predictor_name.model"})
method is used to display the
performance of the candidate models.
Name | Description |
---|---|
"name" | Name of the candidate model. |
"performance" | Accuracy from 0 to 1 depending on the type of the model. |
"training_time" | Time elapsed for the training of the model. |
"selected" | 1 for the best performing model and 0 for the rest. |
home_rentals_model
model.
describe
Command with the ensemble
Parameterdb.runCommand({describe: "predictor_name.ensemble"})
command is used to display the
parameters used to select the best candidate model.
Name | Description |
---|---|
ensemble | Object of the JSON type describing the parameters used to select the best candidate model. |